Lists (3)
Sort Name ascending (A-Z)
Stars
Large Concept Models: Language modeling in a sentence representation space
noise_step: Training in 1.58b With No Gradient Memory
⚙️🦀 Build portable, modular & lightweight Fullstack Agents
A generative world for general-purpose robotics & embodied AI learning.
🦀 Rust runtime for ▲ Vercel Serverless Functions
PyTorch per step fault tolerance (actively under development)
A collection of tools for maximizing the power of your exobrain
An Open-Source Machine Learning Framework in Rust Δ
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A utility to inspect, validate, sign and verify machine learning model files.
some mixture of experts architecture implementations
fanshiqing / grouped_gemm
Forked from tgale96/grouped_gemmPyTorch bindings for CUTLASS grouped GEMM.
shader-like effects library for ratatui applications
Official Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"
lessw2020 / adopt
Forked from iShohei220/adoptOfficial Implementation of "ADOPT: Modified Adam Can Converge with Any β2 with the Optimal Rate"
Can AdamW written in Triton be as performant as fused CUDA impl?
Convert markdown to pdf (a md to pdf transpiler)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Setup a specific Rust toolchain with extra features like problem matchers
About the book "Writing for Developers: Blogs That Get Read," which is all about writing more compelling engineering blog posts. Available on Amazon as well as Manning. By Piotr Sarna & Cynthia Dun…