Stars
Minimal, lightweight JAX implementations of popular models.
Ongoing research training transformer models at scale
verl: Volcano Engine Reinforcement Learning for LLMs
Minimal reproduction of DeepSeek R1-Zero
A bidirectional pipeline parallelism algorithm for computation-communication overlap in DeepSeek V3/R1 training.
🖥 Control your display's brightness & volume on your Mac as if it was a native Apple Display. Use Apple Keyboard keys or custom shortcuts. Shows the native macOS OSDs.
A minimal repo showing how to build a Python project using Bazel
A benchmark for LLMs on complicated tasks in the terminal
Use your Mac trackpad as a weighing scale
Trio – a friendly Python library for async concurrency and I/O
Train GEMMA on TPU/GPU! (Codebase for training Gemma-Ko Series)
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
A Python framework for accelerated simulation, data generation and spatial computing.
JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
SC23 Deep Learning at Scale Tutorial Material
PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
No fortress, purely open ground. OpenManus is Coming.