A Git-compatible VCS that is both simple and powerful

TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization and sparsity. It compresses deep learning models for downstream deployment frame…

FSA/FST algorithms, differentiable, with PyTorch compatibility.

Data validation using Python type hints

Optional static typing for Python

Python packaging and dependency management made easy

An extremely fast Python package installer and resolver, written in Rust.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Official Demo Page for DiTTo-TTS: Efficient and Scalable Zero-Shot Text-to-Speech with Diffusion Transformer

Tiny configuration for Triton Inference Server

Google Research

TorchCFM: a Conditional Flow Matching library

GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM

A massively parallel, high-level programming language

A minimal GPU design in Verilog to learn how GPUs work from the ground up

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Material for cuda-mode lectures

Open weights language model from Google DeepMind, based on Griffin.

Simplify your onnx model

[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications

A machine learning compiler for GPUs, CPUs, and ML accelerators

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

LLM training code for Databricks foundation models

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

C++ python bytecode disassembler and decompiler

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)