LouieYang

LouieYang's Stars

• ATR-DBI/CityRefer

  Language:Python352

• chenhaoxing/DeMamba

  This repository is the code of paper 'DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark'.

  Language:Python30

• LituRout/RB-Modulation

  Reference-Based Modulation (RB-Modulation)

  98

• waymo-research/waymax

  A JAX-based simulator for autonomous driving research.

  Language:Python79685

• yifanlu0227/ChatSim

  [CVPR2024 Highlight] Editable Scene Simulation for Autonomous Driving via LLM-Agent Collaboration

  Language:Python26013

• zhejz/HPTR

  Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023.

  Language:Python1017

• Thinklab-SJTU/Awesome-LLM4AD

  A curated list of awesome LLM for Autonomous Driving resources (continually updated)

  72936

• OpenInterpreter/open-interpreter

  A natural language interface for computers

  Language:Python50.5k4.4k

• metadriverse/trafficgen

  [ICRA 2023] The official code for paper "TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios"

  Language:Python13319

• PJLab-ADG/LimSim

  LimSim & LimSim++: Integrated traffic and autonomous driving simulators with (M)LLM support

  Language:Python34227

• MCZhi/GameFormer

  [ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning

  Language:Python19029

• crowdbotp/OpenTraj

  Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

  Language:Python455104

• sshaoshuai/MTR

  MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.

  Language:Python610103

• Tsinghua-MARS-Lab/M2I

  M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

  Language:Python18724

• Little-Podi/Behavior_Prediction

  This repository is a paper digest of multi-agent behavior (motion / trajectory) prediction (forecasting / generation).

  301

• zhanglijun95/AutoMTL

  Code for "AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning"

  Language:Jupyter Notebook515

• xiaogang00/MTFormer

  This is the source code for the ECCV paper "MTFormer: Multi-Task Learning via Transformer and Cross-Task Reasoning"

  Language:Python314

• prismformore/Multi-Task-Transformer

  Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"

  Language:Python28121

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python163k43.4k

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML107k14.6k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook45.3k5.3k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python60.9k7.6k

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python17.9k1.9k

• lucidrains/gigagan-pytorch

  Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

  Language:Python1.7k96

• datawhalechina/easy-rl

  强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

  Language:Jupyter Notebook8.6k1.8k

• pix2pixzero/pix2pix-zero

  Zero-shot Image-to-Image Translation [SIGGRAPH 2023]

  Language:Python1k78

• EPFL-VILAB/3DCommonCorruptions

  3D Common Corruptions and Data Augmentation, CVPR 2022 [Oral]

  Language:Python789

• LouieYang/stroke-controllable-fast-style-transfer

  Code and data for paper: https://arxiv.org/abs/1802.07101

  Language:Python15826

• lorenmt/auto-lambda

  The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].

  Language:Python12516

• lorenmt/mtan

  The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

  Language:Python654108