Projects of Andfun Yangon

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Deep LearningAndFunYangon
Overview

AndFunYangon

Projects of Andfun Yangon

First Commit

We can use gsearch.py to search for google image of any keyword and pass the file names into a csv file.

Second Commit

The face dection model has been implemented. You may need to download the face_cascade.xml and put it in the same directory with the python script for it to work.

Sample Run

Sample Run

csv

To Do

We need to implement some basic machine learning algorithm to extract the image with people or person in them We still need to download over 80 images, I am working on that and will be available very soon.

Reference

The image scraping script is referenced from Handhika Yanuar Pratama The face detection idea is refrenced from Mr. Khaing Htoo Ko.

Owner
Htin Aung Lu
Htin Aung Lu
GitHub Repository
GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

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Data Analytics and Machine Learning Group 124 Dec 30, 2022
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

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Repo for Photon-Starved Scene Inference using Single Photon Cameras, ICCV 2021

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Bhavya Goyal 5 Nov 15, 2022
GenGNN: A Generic FPGA Framework for Graph Neural Network Acceleration

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[ICCV2021] Official code for "Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition"

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Yuxin Chen 148 Dec 16, 2022
pytorch implementation of Attention is all you need

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230 Dec 07, 2022
PyVideoAI: Action Recognition Framework

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Kiyoon Kim 22 Dec 29, 2022
Code release for Universal Domain Adaptation(CVPR 2019)

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THUML @ Tsinghua University 229 Dec 23, 2022
Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

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QCraft 101 Dec 05, 2022
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA

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Keon Lee 76 Dec 20, 2022
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training Original implementation for paper GCC: Graph Contrastive Coding for Graph Neural N

THUDM 274 Dec 27, 2022
This repo is duplication of jwyang/faster-rcnn.pytorch

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Kim Jihwan 1 Jan 14, 2022
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network

Leaded Gradient Method (LGM) This repository contains the PyTorch implementation for paper Dynamics-aware Adversarial Attack of 3D Sparse Convolution

An Tao 2 Oct 18, 2022
Differential fuzzing for the masses!

NEZHA NEZHA is an efficient and domain-independent differential fuzzer developed at Columbia University. NEZHA exploits the behavioral asymmetries bet

147 Dec 05, 2022
Official code release for "Learned Spatial Representations for Few-shot Talking-Head Synthesis" ICCV 2021

Official code release for "Learned Spatial Representations for Few-shot Talking-Head Synthesis" ICCV 2021

Moustafa Meshry 16 Oct 05, 2022
StarGAN-ZSVC: Unofficial PyTorch Implementation

This repository is an unofficial PyTorch implementation of StarGAN-ZSVC by Matthew Baas and Herman Kamper. This repository provides both model architectures and the code to inference or train them.

Jirayu Burapacheep 11 Aug 28, 2022
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising (CVPR 2020 Oral & TPAMI 2021)

ELD The implementation of CVPR 2020 (Oral) paper "A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising" and its journal (TPAMI) v

Kaixuan Wei 359 Jan 01, 2023
Image super-resolution through deep learning

srez Image super-resolution through deep learning. This project uses deep learning to upscale 16x16 images by a 4x factor. The resulting 64x64 images

David Garcia 5.3k Dec 28, 2022
To SMOTE, or not to SMOTE?

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Python package for missing-data imputation with deep learning

MIDASpy Overview MIDASpy is a Python package for multiply imputing missing data using deep learning methods. The MIDASpy algorithm offers significant

MIDASverse 77 Dec 03, 2022