Starred repositories
[CoRL 2025] CaRL: Learning Scalable Planning Policies with Simple Rewards
A simple version of CV/Resume for application of Master/Doctoral degree.
End-to-End Driving via Generative Adversarial Imitation Learning
A selection of state-of-the-art research materials on trajectory prediction
[AAAI2026 Oral] Official implementation of "StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving"
awesome-autonomous-driving
A simple implementation of Generative Adversarial Imitation Learning with PyTorch
Codel1417 / VRCFT-MediaPipe
Forked from dfgHiatus/VRCFT-BabbleVRCFT Plugin for MediaPipe OSC Face and Eye tracking
raykr / CARLA-SB3-RL-Training-Environment
Forked from alberto-mate/CARLA-SB3-RL-Training-Environment🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement Learning (DRL) in the CARLA simulator with the help of Stable…
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
Argoverse 2: Next generation datasets for self-driving perception and forecasting.
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
[CVPR 2023] Query-Centric Trajectory Prediction
DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support
Radar-Camera fusion for dense metric depth estimation
Google 开源项目风格指南 (中文版)
Style guides for Google-originated open-source projects
Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Open source implementation of "A Self-Supervised Descriptor for Image Copy Detection" (SSCD).
Collection of common code that's shared among different research projects in FAIR computer vision team.
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.