xiannvhan

xiannvhan's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.8k4461315.6k

• windingwind/zotero-pdf-translate

  Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

  Language:TypeScript7k22768336

• l0o0/jasminum

  A Zotero add-on to retrive CNKI meta data. 一个简单的Zotero 插件，用于识别中文元数据

  Language:TypeScript5.2k29287280

• l0o0/translators_CN

  Zotero translator中文网页抓取翻译器🎉This is Zotero translators for Chinese Sites(beta), not the official Zotero repo

  Language:JavaScript4k47272523

• Farama-Foundation/HighwayEnv

  A minimalist environment for decision-making in autonomous driving

  Language:Python2.6k29458732

• flow-project/flow

  Computational framework for reinforcement learning in traffic control

  Language:Python1.1k51488372

• argoverse/argoverse-api

  Official GitHub repository for Argoverse dataset

  Language:Python84028197241

• uber-research/LaneGCN

  [ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

  Language:Python495939131

• ZikangZhou/QCNet

  [CVPR 2023] Query-Centric Trajectory Prediction

  Language:Python471114476

• chauncygu/Safe-Reinforcement-Learning-Baselines

  The repository is for safe reinforcement learning baselines.

  Language:Jupyter Notebook46512075

• PKU-RL/DGN

  DGN Code

  Language:Python33492789

• alelab-upenn/graph-neural-networks

  Library to implement graph neural networks in PyTorch

  Language:Python24112760

• DongChen06/MARL_CAVs

  MARL for Autonomous Vehicles

  Language:Python23755045

• nachiket92/PGP

  Code for "Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals," CoRL 2021.

  Language:Python20952935

• AvivNavon/nash-mtl

  Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

  Language:Python20251426

• RobertKrajewski/highD-dataset

  Language:MATLAB18981384

• HKUST-Aerial-Robotics/DSP

  Trajectory Prediction with Graph-based Dual-scale Context Fusion

  Language:Python14716418

• neunms/Reinforcement-learning-on-graphs-A-survey

  This collection of papers can be used to summarize research about graph reinforcement learning for the convenience of researchers.

  1433021

• kami93/CMU-DATF

  Language:Python7381315

• gorkaydemir/ADAPT

  Official implementation of the ICCV 2023 paper "ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation"

  Language:Jupyter Notebook70197

• schmidt-ju/crat-pred

  Language:Python6241411

• Jacklinkk/Graph_CAVs

  The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on our previous repository TorchGRL.

  Language:Python55295

• mengmengliu1998/GATraj

  [ISPRS 2023]Official PyTorch Implementation of "GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model"

  Language:Python55588

• FXDevailly/IG-RL

  Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control

  Language:Python53118

• westny/mtp-go

  Code for running the implementations proposed in: Westny, T., Oskarsson, J., Olofsson, B. and Frisk, E., "MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs", IEEE Transactions on Intelligent Vehicles

  Language:Python34633

• mmdzb/Lane-Transformer

  Language:Python27114