FAIR Sequence Modeling Toolkit 2

Minimalist ML framework for Rust

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Safe interop between Rust and C++

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

PromptTTS++: Controlling Speaker Identity in Prompt-Based Text-To-Speech Using Natural Language Descriptions

Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.

Awesome speech/audio LLMs, representation learning, and codec models

Standardized Serverless ML Inference Platform on Kubernetes

Use Prometheus to monitor Kubernetes and applications running on Kubernetes

Mozc - a Japanese Input Method Editor designed for multi-platform

RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything

LibriTTS-P: A Corpus with Speaking Style and Speaker Identity Prompts for Text-to-Speech and Style Captioning

LLM training in simple, raw C/CUDA

Massive open Japanese speech corpus

An extremely fast Python package and project manager, written in Rust.

The original sources of MS-DOS 1.25, 2.0, and 4.0 for reference purposes

Self-supervised learning for fast pitch estimation

Coco-Nut (Corpus of connecting NIHONGO utterance and text) corpus

Contrastive Language-Audio Pretraining

Foundational Models for State-of-the-Art Speech and Text Translation

The Mojo Programming Language

Flower: A Friendly Federated AI Framework

A set of beautifully-designed, accessible components and a code distribution platform. Works with your favorite frameworks. Open Source. Open Code.

mimalloc is a compact general purpose allocator with excellent performance.

pepy is a site to get statistics information about any Python package.