Stars
A simple, performant and scalable Jax LLM!
torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JAX-Pytorch interoperability, meaning, one can mix JAX & Pytorโฆ
A modern model graph visualizer and debugger
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A high-throughput and memory-efficient inference and serving engine for LLMs
PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
Codebase for Obfuscated Activations Bypass LLM Latent-Space Defenses
๐ง +๐ง Build your music algorithms and AI models with the next-gen DAW ๐ฅ
๐ OpenHands: AI-Driven Development
Trigger a workflow in another (or same) repository and wait for the job to finish.
Compare different hardware platforms via the Roofline Model for LLM inference tasks.
a language for fast, portable data-parallel computation
Highly customizable Wayland bar for Sway and Wlroots based compositors. โ๏ธ ๐
Computing-focused community centered around link aggregation and discussion
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
torchprime is a reference model implementation for PyTorch on TPU.
An implementation of JAX core based on Autodidax.
A command-line tool written in Rust for analyzing CSV, TXT, and Excel files.
A debugging and profiling tool that can trace and visualize python code execution
๐๏ธ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes.