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TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.
A debugging and profiling tool that can trace and visualize python code execution
slime is an LLM post-training framework for RL Scaling.
RL post-training open LLMs for math reasoning
Minimal library for distributed python work. Can efficiently run CPU and GPU tasks across 100s of machines.
Glommio is a thread-per-core crate that makes writing highly parallel asynchronous applications in a thread-per-core architecture easier for rustaceans.
RedKit is a lightweight, high-performance Redis-compatible server framework written in Go
Sharp Monocular View Synthesis in Less Than a Second
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
Example for implementing isolated environments with Ray and UV
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
🔬 A fast, interactive web-based viewer for performance profiles.
A modern replacement for Redis and Memcached
Official PyTorch implementation for "Large Language Diffusion Models"
A natively parallel dataloader for Python, written in Rust. Serving data at GB/s speeds, while covering aspect ratio bucketing, crop and resize for image ML workloads.
DeepEP: an efficient expert-parallel communication library
The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization
H-Net: Hierarchical Network with Dynamic Chunking
Kimi K2 is the large language model series developed by Moonshot AI team
Simplifying reinforcement learning for complex game environments