Notification Triggers for Python

Related tags

Deep Learningnotipyer
Overview

Notipyer

Notification triggers for Python

Send async email notifications via Python. Get updates/crashlogs from your scripts with ease.

Installation

python -m venv env
source env/bin/activate
pip install notipyer

Email Notifications

Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

  1. Turn off 2-Step authentication. Ref
  2. Turn on "Less Secure App Access" here

Configuration

from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'password'
set_email_config(SENDER_EMAIL, SENDER_PASS)

Sending Email

from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

Contact

Chirag Jain

You might also like...
Automatic self-diagnosis program (python required)Automatic self-diagnosis program (python required)

auto-self-checker 자동으로 자가진단 해주는 프로그램(python 필요) 중요 이 프로그램이 실행될때에는 절대로 마우스포인터를 움직이거나 키보드를 건드리면 안된다(화면인식, 마우스포인터로 직접 클릭) 사용법 프로그램을 구동할 폴더 내의 cmd창에서 pip

null 1 Dec 30, 2021
POPPY (Physical Optics Propagation in Python) is a Python package that simulates physical optical propagation including diffraction
POPPY (Physical Optics Propagation in Python) is a Python package that simulates physical optical propagation including diffraction

POPPY: Physical Optics Propagation in Python POPPY (Physical Optics Propagation in Python) is a Python package that simulates physical optical propaga

Space Telescope Science Institute 132 Dec 15, 2022
Space-invaders - Simple Game created using Python & PyGame, as my Beginner Python Project
Space-invaders - Simple Game created using Python & PyGame, as my Beginner Python Project

Space Invaders This is a simple SPACE INVADER game create using PYGAME whihc hav

Gaurav Pandey 2 Jan 8, 2022
Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat
Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat

Snapchat like filter App using opencv python Backend : opencv and python Library

null 2 Jul 19, 2022
Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python
Yolov5-opencv-cpp-python - Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python

yolov5-opencv-cpp-python Example of performing inference with ultralytics YOLO V

null 183 Jan 9, 2023
Python-kafka-reset-consumergroup-offset-example - Python Kafka reset consumergroup offset example

Python Kafka reset consumergroup offset example This is a simple example of how

Willi Carlsen 1 Feb 16, 2022
Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.
Experimental Python implementation of OpenVINO Inference Engine (very slow, limited functionality). All codes are written in Python. Easy to read and modify.

PyOpenVINO - An Experimental Python Implementation of OpenVINO Inference Engine (minimum-set) Description The PyOpenVINO is a spin-off product from my

Yasunori Shimura 7 Oct 31, 2022
A python-image-classification web application project, written in Python and served through the Flask Microframework
A python-image-classification web application project, written in Python and served through the Flask Microframework

A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.

Gerald Maduabuchi 19 Dec 12, 2022
A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.
A python-image-classification web application project, written in Python and served through the Flask Microframework. This Project implements the VGG16 covolutional neural network, through Keras and Tensorflow wrappers, to make predictions on uploaded images.

Image Classification in Python Implementing image classification in Flask using Keras. The VGG16 is a convolution neural network model architecture th

Gerald Maduabuchi 19 Dec 12, 2022
Comments
  • Bump certifi from 2020.12.5 to 2022.12.7

    Bump certifi from 2020.12.5 to 2022.12.7

    Bumps certifi from 2020.12.5 to 2022.12.7.

    Commits

    Dependabot compatibility score

    Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

    Dependabot commands and options

    You can trigger Dependabot actions by commenting on this PR:

    • @dependabot rebase will rebase this PR
    • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
    • @dependabot merge will merge this PR after your CI passes on it
    • @dependabot squash and merge will squash and merge this PR after your CI passes on it
    • @dependabot cancel merge will cancel a previously requested merge and block automerging
    • @dependabot reopen will reopen this PR if it is closed
    • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
    • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
    • @dependabot use these labels will set the current labels as the default for future PRs for this repo and language
    • @dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language
    • @dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language
    • @dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

    You can disable automated security fix PRs for this repo from the Security Alerts page.

    dependencies 
    opened by dependabot[bot] 0
Releases(v0.3.3)

  • v0.3.3(Mar 28, 2022)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
SENDER_NAME = 'my name'
set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
attachment_path = 'path_to_my_file' # Can be None
html = """\
<html>
  <head></head>
  <body>
    <p>Hi!<br>
       How are you?<br>
    </p>
  </body>
</html>
""" # Can be None
is_async = True # Sent as an async email only if this parameter is True

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients, attachment_path, html_text, is_async)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)

  • v0.3.2(Feb 9, 2022)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
SENDER_NAME = 'my name'
set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
attachment_path = 'path_to_my_file' # Can be None
is_async = True # Sent as an async email only if this parameter is True

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients, attachment_path, is_async)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)

  • v0.3.1(Feb 9, 2022)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
SENDER_NAME = 'my name'
set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None
attachment_path = 'path_to_my_file' # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients, attachment_path)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)

  • v0.2.3(Dec 25, 2021)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
SENDER_NAME = 'my name'
set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)

  • v0.2.1(Sep 5, 2021)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
SENDER_NAME = 'my name'
set_email_config(SENDER_EMAIL, SENDER_PASS, SENDER_NAME)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    Notipyer-0.2.1.tar.gz(3.49 KB)
    Notipyer-0.2.1.win-amd64.zip(12.94 KB)

  • v0.2.0(Aug 27, 2021)

    Notipyer

    Notification Triggers for Python

    Send async email and slack notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your Gmail account, make the following changes:

    1. Turn on 2-Step authentication. Ref
    2. Create an app password. Ref
    3. While creating an app password, select app as "Other (Custom name)" and enter a name of your choice.
    4. Use the password obtained from app password for the configuration step below.
    5. More information can be obtained on the wiki page here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'my_app_password'
set_email_config(SENDER_EMAIL, SENDER_PASS)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Slack Notifications

    Notipyer currently supports running a single workplace install only.

    For setting up token keys for using slack notifications, follow the wiki page here

    Configuration

    from notipyer.slack_notify import set_slack_token_config

# Follow the wiki for getting the bot token
BOT_TOKEN = 'xoxb-12345678990123-1234567890123-abcdefghijklmnopqrstuvwx' 
set_slack_token_config(BOT_TOKEN)

    Sending Message

    from notipyer.slack_notify import send_message

# the bot should be added to the channel
channel = 'my-channel-name'
message = 'my-message'

set_slack_token_config(SLACK_TOKEN)
send_message(channel, message)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)

  • v0.1.2(May 29, 2021)

    Notipyer

    Notification triggers for Python

    Send async email notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

    1. Turn off 2-Step authentication. Ref
    2. Turn on "Less Secure App Access" here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'password'
set_email_config(SENDER_EMAIL, SENDER_PASS)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    notipyer-0.1.2.tar.gz(3.20 KB)

  • v0.1.1(May 29, 2021)

    Notipyer

    Notification triggers for Python

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

    1. Turn off 2-Step authentication. Ref
    2. Turn on "Less Secure App Access" here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'password'
set_email_config(SENDER_EMAIL, SENDER_PASS)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    notipyer-0.1.1.tar.gz(3.14 KB)

  • v.0.1.3(May 29, 2021)

    Notipyer

    Notification triggers for Python

    Send async email notifications via Python. Get updates/crashlogs from your scripts with ease.

    Installation

    python -m venv env
source env/bin/activate
pip install notipyer

    Email Notifications

    Notipyer currently supports Gmail accounts as senders. To allow the library to use your gmail account, make the following changes:

    1. Turn off 2-Step authentication. Ref
    2. Turn on "Less Secure App Access" here

    Configuration

    from notipyer.email_notify import set_email_config

SENDER_EMAIL = '[email protected]'
SENDER_PASS = 'password'
set_email_config(SENDER_EMAIL, SENDER_PASS)

    Sending Email

    from notipyer.email_notify import send_email

subject = 'My Email Subject'
body = 'My Email Body'
to_recipients = ['[email protected]', '[email protected]'] # Can be None
cc_recipients = ['[email protected]', '[email protected]'] # Can be None
bcc_recipients = ['[email protected]', '[email protected]'] # Can be None

send_email(subject, body, to_recipients, cc_recipients, bcc_recipients)

    Contact

    Chirag Jain

    Source code(tar.gz)
    Source code(zip)
    notipyer-0.1.3.tar.gz(3.12 KB)
Owner
Chirag Jain
CSE Undergrad at IIIT Delhi
Chirag Jain
GitHub Repository https://pypi.org/project/notipyer/
PyTorch implementation of the ExORL: Exploratory Data for Offline Reinforcement Learning

ExORL: Exploratory Data for Offline Reinforcement Learning This is an original PyTorch implementation of the ExORL framework from Don't Change the Alg

Denis Yarats 52 Jan 01, 2023
[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)

Are Transformers More Robust Than CNNs? Pytorch implementation for NeurIPS 2021 Paper: Are Transformers More Robust Than CNNs? Our implementation is b

Yutong Bai 145 Dec 01, 2022
Get started with Machine Learning with Python - An introduction with Python programming examples

Machine Learning With Python Get started with Machine Learning with Python An engaging introduction to Machine Learning with Python TL;DR Download all

Learn Python with Rune 130 Jan 02, 2023
Reimplementation of the paper `Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? (ACL2020)`

Human Attention for Text Classification Re-implementation of the paper Human Attention Maps for Text Classification: Do Humans and Neural Networks Foc

Shunsuke KITADA 15 Dec 13, 2021
Accelerated Multi-Modal MR Imaging with Transformers

Accelerated Multi-Modal MR Imaging with Transformers Dependencies numpy==1.18.5 scikit_image==0.16.2 torchvision==0.8.1 torch==1.7.0 runstats==1.8.0 p

54 Dec 16, 2022
This repository contains the source codes for the paper AtlasNet V2 - Learning Elementary Structures.

AtlasNet V2 - Learning Elementary Structures This work was build upon Thibault Groueix's AtlasNet and 3D-CODED projects. (you might want to have a loo

Théo Deprelle 123 Nov 11, 2022
Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data"

Code and Datasets from the paper "Self-supervised contrastive learning for volcanic unrest detection from InSAR data" You can download the pretrained

Bountos Nikos 3 May 07, 2022
Implementation of "Bidirectional Projection Network for Cross Dimension Scene Understanding" CVPR 2021 (Oral)

Bidirectional Projection Network for Cross Dimension Scene Understanding CVPR 2021 (Oral) [ Project Webpage ] [ arXiv ] [ Video ] Existing segmentatio

Hu Wenbo 135 Dec 26, 2022
Human motion synthesis using Unity3D

Human motion synthesis using Unity3D Prerequisite: Software: amc2bvh.exe, Unity 2017, Blender. Unity: RockVR (Video Capture), scenes, character models

Hao Xu 9 Jun 01, 2022
J.A.R.V.I.S is an AI virtual assistant made in python.

J.A.R.V.I.S is an AI virtual assistant made in python. Running JARVIS Without Python To run JARVIS without python: 1. Head over to our installation pa

somePythonProgrammer 16 Dec 29, 2022
Tree-based Search Graph for Approximate Nearest Neighbor Search

TBSG: Tree-based Search Graph for Approximate Nearest Neighbor Search. TBSG is a graph-based algorithm for ANNS based on Cover Tree, which is also an

Fanxbin 2 Dec 27, 2022
AttGAN: Facial Attribute Editing by Only Changing What You Want (IEEE TIP 2019)

News 11 Jan 2020: We clean up the code to make it more readable! The old version is here: v1. AttGAN TIP Nov. 2019, arXiv Nov. 2017 TensorFlow impleme

Zhenliang He 568 Dec 14, 2022
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021) This repository contains the official implemen

81 Dec 14, 2022
Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients

LSF-SAC Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy G

Hanhan 2 Aug 14, 2022
Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Improved Training of Wasserstein GANs Code for reproducing experiments in "Improved Training of Wasserstein GANs". Prerequisites Python, NumPy, Tensor

Ishaan Gulrajani 2.2k Jan 01, 2023
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning.

neural-combinatorial-rl-pytorch PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning. I have implemented the basic

Patrick E. 454 Jan 06, 2023
Implementation of Multistream Transformers in Pytorch

Multistream Transformers Implementation of Multistream Transformers in Pytorch. This repository deviates slightly from the paper, where instead of usi

Phil Wang 47 Jul 26, 2022
Addition of pseudotorsion caclulation eta, theta, eta', and theta' to barnaba package

Addition to Original Barnaba Code: This is modified version of Barnaba package to calculate RNA pseudotorsion angles eta, theta, eta', and theta'. Ple

Mandar Kulkarni 1 Jan 11, 2022
This is the official github repository of the Met dataset

The Met dataset This is the official github repository of the Met dataset. The official webpage of the dataset can be found here. What is it? This cod

Nikolaos-Antonios Ypsilantis 35 Dec 17, 2022
Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"

Dataset and Code for RealVSR Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme Xi Yang, Wangmeng Xiang,

Xi Yang 92 Jan 04, 2023