The official repository of Compact 3D Gaussian Representation for Radiance Field

Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians

A multi-sensor capture system for free viewpoint video.

Microsoft Collective Communication Library

Code repo for paper "Low Latency Point Cloud Rendering with Learned Splatting", CVPRW 2024.

Implementation of Decision Transformer, Conservative Q-Learning, and Behavior Cloning in Offline Reinforcement Learning setting

Official implementation for "Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size", NeurIPS 2022, Offline RL Workshop

Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC

[ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization"

Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).

An offline deep reinforcement learning library

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Open standard for machine learning interoperability

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)

Official Jax implementation of AlignIQL.

A DDPM implementation in Jax for continuous space modeling.

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

Repo for Implicit Diffusion Q-Learning

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision

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

[NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

The source code of team Schaferct in 2nd Bandwidth Prediction of MMSys'24.

This gym leverages NS3 and WebRTC, which can be used by reinforcement learning or other methods to build a Bandwidth Controller for WebRTC