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A vLLM patch + hand‑written SM120 SASS kernels: 2‑bit MoE experts + an FP4 "delta" cache that recovers precision — matching the official (NV)FP4 checkpoint's quality on consumer Blackwell cards
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
💫 Toolkit to help you get started with Spec-Driven Development
Environments and Algorithms for Generative Flow Networks in JAX
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
Machine Learning Engineering Open Book
A unofficial desktop web interface for managing Speediance Gym Monster workouts, viewing the exercise library, and generating AI-powered plans.
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Minimalistic 4D-parallelism distributed training framework for education purpose
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
Solution Manual for Roman Vershynin's High-Dimensional Probability
A JAX-based simulator for autonomous driving research.
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.
High-performance key-value store for ML inference. 100x faster than Redis.
Gemma open-weight LLM library, from Google DeepMind