Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
PyTorch deep learning projects made easy.
Video+code lecture on building nanoGPT from scratch
dataset and code for 2016 paper "Learning a Driving Simulator"
Vector (and Scalar) Quantization, in Pytorch
Mastering Diverse Domains through World Models
A PyTorch Library for Multi-Task Learning
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Code release for ConvNeXt V2 model
Implementing DeepSeek R1's GRPO algorithm from scratch
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
ChatReviewer: 使用ChatGPT分析论文优缺点，提出改进建议
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
[ICCV 2023 & ICLR 2026] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
MetaDrive: Lightweight driving simulator for everyone
A JAX-based simulator for autonomous driving research.
A fast and differentiable model predictive control (MPC) solver for PyTorch.
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
Experiments for understanding disentanglement in VAE latent representations
A Collection of Foundation Driving Models by OpenDriveLab
[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection
[CVPR 2023] Query-Centric Trajectory Prediction
[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning