bragilee

bragilee's Stars

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python30k3728.4k9.5k

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.6k3996419.6k

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C21.9k4838.3k8k

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python9k631.6k584

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.5k3455335

• victoresque/pytorch-template

  PyTorch deep learning projects made easy.

  Language:Python4.8k55641.1k

• mseitzer/pytorch-fid

  Compute FID scores with PyTorch.

  Language:Python3.5k1386518

• jonbarron/website

  Language:HTML2.7k16162.2k

• zhanghang1989/PyTorch-Encoding

  A CV toolkit for my papers.

  Language:Python2k42357451

• waleedka/hiddenlayer

  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

  Language:Python1.8k4489266

• yulunzhang/RCAN

  PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

  Language:Python1.4k23129316

• hszhao/semseg

  Semantic Segmentation in Pytorch

  Language:Python1.3k2184243

• Lyken17/Efficient-PyTorch

  My best practice of training large dataset using PyTorch.

  Language:Python1.1k2726137

• kennymckormick/pyskl

  A toolbox for skeleton-based action recognition.

  Language:Python1k14222189

• YannDubs/disentangling-vae

  Experiments for understanding disentanglement in VAE latent representations

  Language:Python8031424145

• okankop/Efficient-3DCNNs

  PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

  Language:Python7841444153

• kevinzakka/pytorch-goodies

  PyTorch Boilerplate For Research

  Language:Python606181071

• okankop/vidaug

  Effective Video Augmentation Techniques for Training Convolutional Neural Networks

  Language:Python39181979

• gurkirt/realtime-action-detection

  This repository host the code for real-time action detection paper

  Language:MATLAB321235497

• 1Konny/FactorVAE

  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

  Language:Python26471148

• mtli/HTML4Vision

  A simple HTML visualization tool for computer vision research :hammer_and_wrench:

  Language:Python24171015

• longyin880815/STCNN

  Spatiotemporal CNN for Video Object Segmentation

  Language:Python1489619

• google-deepmind/3d-shapes

  This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.

  Language:Jupyter Notebook1369232

• iffsid/disentangling-disentanglement

  Language:Python8914218

• batsa003/videogan

  PyTorch implementation of VideoGAN for Generating Videos with Scene Dynamics

  Language:Python554314

• ngxbac/GAIN

  Pytorch implementation of paper: [Tell Me Where to Look: Guided Attention Inference Network](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Tell_Me_Where_CVPR_2018_paper.pdf)

  Language:Python482918

• weixiong-ur/mdgan

  official code of CVPR'18 paper "learning to generate time-lapse videos using multi-stage dynamic generative adversarial networks"

  Language:Python44377

• gurkirt/2D-kinectics

  Train action classification model based on individual frames

  Language:Python424412

• jiayan97/linknet-pytorch

  Pytorch reimplementation of LinkNet for Scene Graph Generation

  Language:Python28026

• aidiary/conv-vae

  Convolutional Variational Autoencoder

  Language:Python10201