Compose multimodal datasets 🎹

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…

A playbook for systematically maximizing the performance of deep learning models.

Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

Paper Collection for Imitation Learning in RL.

PyTorch从入门到精通

Matplotlib 3.1 cheat sheet.

Google Research

A collection of deep reinforcement learning algorithm implementations

Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)

Microsoft and GitHub Workers Support 996.ICU

Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Lightweight profiler library for c++

A Simple and Versatile Framework for Object Detection and Instance Recognition

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Black-Box Adversarial Attack on Public Face Recognition Systems

An educational resource to help anyone learn deep reinforcement learning.

Embed Python in Unreal Engine 4

Open-source simulator for autonomous driving research.

Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

OpenMMLab Computer Vision Foundation

OpenMMLab Detection Toolbox and Benchmark