🐾
paw-segmentation
🐾
Paw Segmentation
🐾 Semantic segmentation of paws from cute pet images (PyTorch)
Overview
Owner
Zabir Al Nazi Nabil
./algorist | machine learning engineer | sci-fi connoisseur
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving Code will be available soon. Motivation Architecture
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Build upon neural radiance fields to create a scene-specific implicit 3D semantic representation, Semantic-NeRF
Semantic-NeRF: Semantic Neural Radiance Fields Project Page | Video | Paper | Data In-Place Scene Labelling and Understanding with Implicit Scene Repr
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Tensorboard for pytorch (and chainer, mxnet, numpy, ...)
tensorboardX Write TensorBoard events with simple function call. The current release (v2.3) is tested on anaconda3, with PyTorch 1.8.1 / torchvision 0
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Implementation of our paper "Video Playback Rate Perception for Self-supervised Spatio-Temporal Representation Learning".
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39 Dec 29, 2022
Cross-platform-profile-pic-changer - Script to change profile pictures across multiple platforms
cross-platform-profile-pic-changer script to change profile pictures across mult
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Convolutional Neural Networks
Darknet Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. D
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A package, and script, to perform imaging transcriptomics on a neuroimaging scan.
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Paper list of log-based anomaly detection
Paper list of log-based anomaly detection
411 Dec 05, 2022
BOVText: A Large-Scale, Multidimensional Multilingual Dataset for Video Text Spotting
BOVText: A Large-Scale, Bilingual Open World Dataset for Video Text Spotting Updated on December 10, 2021 (Release all dataset(2021 videos)) Updated o
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31 Oct 10, 2022
A collection of resources on GAN Inversion.
This repo is a collection of resources on GAN inversion, as a supplement for our survey
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High performance distributed framework for training deep learning recommendation models based on PyTorch.
High performance distributed framework for training deep learning recommendation models based on PyTorch.
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Causal Influence Detection for Improving Efficiency in Reinforcement Learning
Causal Influence Detection for Improving Efficiency in Reinforcement Learning This repository contains the code release for the paper "Causal Influenc
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HEAM: High-Efficiency Approximate Multiplier Optimization for Deep Neural Networks
Approximate Multiplier by HEAM What's HEAM? HEAM is a general optimization method to generate high-efficiency approximate multipliers for specific app
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An LSTM based GAN for Human motion synthesis
GAN-motion-Prediction An LSTM based GAN for motion synthesis has a few issues reading H3.6M data from A.Jain et al , will fix soon. Prediction of the
9 Jun 17, 2022
Joint project of the duo Hacker Ninjas
Project Smoothie Společný projekt dua Hacker Ninjas. První pokus o hříčku po třech týdnech učení se programování. Jakub Kolář e:\
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The fastai deep learning library
Welcome to fastai fastai simplifies training fast and accurate neural nets using modern best practices Important: This documentation covers fastai v2,
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Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
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An official implementation of MobileStyleGAN in PyTorch
MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis Official PyTorch Implementation The accompanying videos c
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Neural Oblivious Decision Ensembles
Neural Oblivious Decision Ensembles A supplementary code for anonymous ICLR 2020 submission. What does it do? It learns deep ensembles of oblivious di
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