YuejiangLIU

YuejiangLIU's Stars

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python51.3k3719.3k16.4k

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k13853872

• ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

  Tools to Design or Visualize Architecture of Neural Network

  4.5k717576

• jbhuang0604/awesome-tips

  3.5k994196

• una-dinosauria/3d-pose-baseline

  A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

  Language:Python1.4k38203356

• py-why/causal-learn

  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

  Language:Python1.2k18108197

• isarandi/metrabs

  Estimate absolute 3D human poses from RGB images.

  Language:Python474237968

• YuejiangLIU/awesome-source-free-test-time-adaptation

  A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation

  46712745

• facebookresearch/InvariantRiskMinimization

  PyTorch code to run synthetic experiments.

  Language:Python41415961

• una-dinosauria/human-motion-prediction

  Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

  Language:Python4101660142

• domainadaptation/salad

  A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

  Language:HTML334153642

• adapt-python/adapt

  Awesome Domain Adaptation Python Toolbox

  Language:Python31466244

• DuncanZauss/Keypoint_Communities

  [ICCV '21] In this repository you find the code to our paper "Keypoint Communities".

  Language:Python268101717

• bplank/awesome-neural-adaptation-in-NLP

  Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632

  26419123

• wei-mao-2019/LearnTrajDep

  code for learning trajectory dependencies for human motion prediction

  Language:Python25042445

• ZheC/GTA-IM-Dataset

  [ECCV-20] 3D human scene interaction dataset: https://people.eecs.berkeley.edu/~zhecao/hmp/index.html

  Language:Python249132018

• Wangt-CN/Awesome-Causality-in-CV

  A curated list of Causality in Computer Vision

  2391619

• wangzheng17/awesome-causal-vision

  A curated list of research papers in exploring causality in vision. Link to the code if available is also present.

  23312131

• fabbrimatteo/JTA-Dataset

  Language:Python19691625

• svenkreiss/socialforce

  Differentiable Social Force simulation with universal interaction potentials.

  Language:Jupyter Notebook1264342

• wei-mao-2019/HisRepItself

  Language:Python10721319

• vita-epfl/causalmotion

  [CVPR22] Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective

  Language:Python725111

• CHENGY12/CausalHTP

  The official PyTorch code implementation of "Human Trajectory Prediction via Counterfactual Analysis" in ICCV 2021.

  Language:Python712413

• fiveai/LAME

  This code accompanies the paper "Parameter-free Online Test-time Adaptation".

  Language:Python66534

• wzell/mann

  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)

  Language:Python605726

• vita-epfl/ttt-plus-plus

  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?

  Language:Python59686

• ysharma1126/ssl_identifiability

  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style

  Language:Python48246

• jarvisWang0903/Awesome-Domain-Adaptation

  :sunglasses: A curated list of domain adaptation papers, datasets and other resources.

  46726

• bzz/scholar-alert-digest

  Aggregate unread emails from Google Scholar alerts

  Language:Go435306

• sherwinbahmani/ynet_adaptive

  Adaptive Y-net for Causal Motion Forecasting

  Language:Python7125