Yamguocheng

Yamguocheng's Stars

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.7k2527.2k3.4k

• lingcoder/OnJava8

  《On Java 8》中文版

  16.3k6201885.4k

• dragen1860/Deep-Learning-with-TensorFlow-book

  深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

  Language:Jupyter Notebook13.2k4872204.1k

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python9k971812k

• bentrevett/pytorch-seq2seq

  Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

  Language:Jupyter Notebook5.4k661941.3k

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.2k55701.2k

• open-mmlab/mmskeleton

  A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

  Language:Python3k704511k

• nutonomy/nuscenes-devkit

  The devkit of the nuScenes dataset.

  Language:Python2.3k52806641

• yysijie/st-gcn

  Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

  Language:Python1.5k260338

• devnag/pytorch-generative-adversarial-networks

  A very simple generative adversarial network (GAN) in PyTorch

  Language:Python1.5k5014449

• automan000/Convolutional_LSTM_PyTorch

  Multi-layer convolutional LSTM with Pytorch

  Language:Python808620198

• ethanfetaya/NRI

  Neural relational inference for interacting systems - pytorch

  Language:Python7462634157

• inyeoplee77/SAGPool

  Official PyTorch Implementation of SAGPool - ICML 2019

  Language:Python36781480

• nachiket92/conv-social-pooling

  Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

  Language:Python3391139102

• limaosen0/AS-GCN

  The model architecture of AS-GCN (for human action recognition)

  Language:Python293135072

• huang-xx/STGAT

  STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

  Language:Python20252262

• dotah88/Vehicle-Trajectory-Prediction-on-NGSIM

  Language:Jupyter Notebook1754848

• ykotseruba/JAAD

  Annotation data for JAAD (Joint Attention in Autonomous Driving) Dataset

  Language:Python17062155

• yanx27/GACNet

  Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

  Language:Python16841531

• crowdbotp/socialways

  Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

  Language:Python12393347

• jmercat/KalmanBaseline

  Baseline Kalman models for trajectory predictions. One is constant velocity LSTM

  Language:Python1015727

• lrinQVQ/script

  Language:Shell7913739

• cschoeller/constant_velocity_pedestrian_motion

  Code for "What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction", Schöller et al., Robotics and Automation Letters (RA-L), 2020

  Language:Python56258

• umautobots/pedx

  Python tools for working with PedX dataset.

  Language:Python308310

• ds4dm/sparse-gcn

  Sparse graph attention

  Language:Python17414

• FesianXu/SkeletonGCN

  Skeleton Graph Convolution Network is based on the Deep Graph Library and inspired by ST-GCN network designing.

  Language:Jupyter Notebook16207

• abcinje/st-gcn-data

  Data Preprocessing Tools for ST-GCN(Spatial Temporal Graph Convolutional Networks)

  Language:Python8102

• cmu-prediction-mscv-capstone/constant_velocity

  Language:Python3200

• viralthakkar/hurricane-predication

  Hurricane Path Prediction Using Linear Regression

  Language:Python3201

• serenetech90/self-growing-st-graph

  Language:Python210