YuejiangLIU

YuejiangLIU's Stars

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python24.1k4192964.4k

• abhishekkrthakur/approachingalmost

  Approaching (Almost) Any Machine Learning Problem

  7.5k145661.1k

• yuchenlin/rebiber

  A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

  Language:Python2.7k1530159

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.3k2158469

• facebookresearch/swav

  PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

  Language:Python2k41116281

• derekantrican/GAS-ICS-Sync

  A Google Apps Script for syncing ICS/ICAL files faster than the current Google Calendar speed

  Language:JavaScript1.6k31280198

• xuehaouwa/Awesome-Trajectory-Prediction

  1.2k494237

• StanfordASL/Trajectron-plus-plus

  Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

  Language:Jupyter Notebook6662492188

• p-lambda/wilds

  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

  Language:Python5532055129

• leftthomas/SimCLR

  A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

  Language:Python543736111

• zczcwh/PoseFormer

  The project is an official implementation of our paper "3D Human Pose Estimation with Spatial and Temporal Transformers".

  Language:Python49893774

• microsoft/voxelpose-pytorch

  Official implementation of "VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment"

  Language:Python490225093

• zgcr/SimpleAICV_pytorch_training_examples

  SimpleAICV:pytorch training and testing examples.

  Language:Jupyter Notebook42293295

• sscardapane/reprodl2021

  Host repository for the "Reproducible Deep Learning" PhD course

  Language:Jupyter Notebook40519257

• cunjunyu/STAR

  [ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

  Language:Python365102682

• abarker/pdfCropMargins

  pdfCropMargins -- a program to crop the margins of PDF files

  Language:Python36375935

• Nicholasli1995/EvoSkeleton

  Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"

  Language:Python332125844

• acmi-lab/cmu-10721-philosophy-machine-intelligence

  Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".

  26024022

• SSARCandy/DeepCORAL

  🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

  Language:Python22781942

• AndrewAtanov/simclr-pytorch

  PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

  Language:Jupyter Notebook19351539

• sybrenstuvel/Python-RVO2

  Optimal Reciprocal Collision Avoidance, Python bindings

  Language:C++19172863

• DenisDsh/PyTorch-Deep-CORAL

  This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for Deep Domain Adaptation. Baochen Sun and Kate Saenko (ECCV 2016).

  Language:Python525218

• abhinavagarwalla/swav-cifar10

  SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav

  Language:Python28243

• miraymen/3dpw-eval

  Evaluation code for the workshop "3D Pose Estimation in the Wild" held in conjunction with ECCV 2020

  Language:Python272211

• YuejiangLIU/social-nce-trajectron-plus-plus

  [ICCV'21] PyTorch implementation of the Social-NCE applied to Trajectron++.

  Language:Python23349

• munkai/pytorch-tutorial

  Deep learning and natural language processing tutorial in PyTorch

  Language:Jupyter Notebook223112

• matthewfeickert/nvidia-gpu-ml-library-test

  Simple tests for JAX, PyTorch, and TensorFlow to test if the installed NVIDIA drivers are being properly picked up

  Language:Python16415

• qiyan98/social-nce-stgcnn

  [ICCV'21] Official implementation of the "Social NCE: Contrastive Learning of Socially-aware Motion Representations" in PyTorch, for Social-STGCNN on trajectory forecasting.

  Language:Python15105

• collin-burns/feature-alignment

  Code for "Limitations of Post-Hoc Feature Alignment for Robustness".

  Language:Python9101

• cconejob/Autonomous_driving_pipeline

  Language:Python6201