mathrho's Stars
SamLynnEvans/Transformer
Transformer seq2seq model, program that can build a language translator from parallel corpus
facebookresearch/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
mit-han-lab/temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
allenai/allennlp
An open-source NLP research library, built on PyTorch.
ruotianluo/pytorch-faster-rcnn
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
longcw/faster_rcnn_pytorch
Faster RCNN with PyTorch
jwyang/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
smallflyingpig/pytorch_video_caption
some models for video caption implemented by pytorch. (S2VT)
chenxinpeng/S2VT
Tensorflow implement of paper: Sequence to Sequence: Video to Text
google-deepmind/kinetics-i3d
Convolutional neural network model for video classification trained on the Kinetics dataset.
facebookresearch/video-nonlocal-net
Non-local Neural Networks for Video Classification
kenshohara/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
Tushar-N/pytorch-resnet3d
I3D Nonlocal ResNets in Pytorch
open-mmlab/mmaction
An open-source toolbox for action understanding based on PyTorch
yjxiong/temporal-segment-networks
Code & Models for Temporal Segment Networks (TSN) in ECCV 2016
xiaolonw/TimeCycle
Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)
activitynet/ActivityNet
This repository is intended to host tools and demos for ActivityNet
sunshineatnoon/Paper-Implementations
Use PyTorch to implement some classic frameworks
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
xiaolonw/video-nonlocal-net
Non-local Neural Networks for Video Classification
Tiiiger/SGC
official implementation for the paper "Simplifying Graph Convolutional Networks"
matenure/FastGCN
The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
tkipf/keras-gcn
Keras implementation of Graph Convolutional Networks
tkipf/pygcn
Graph Convolutional Networks in PyTorch
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
wmeiqi/ActionRecognization
leoshine/Spherical_Regression
PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".
mattdeitke/CVPR2019
Displays all the 2019 CVPR Accepted Papers in a way that they are easy to parse.
wzhe06/SparkCTR
CTR prediction model based on spark(LR, GBDT, DNN)