A PyTorch native platform for training generative AI models

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

Nano vLLM

Silero VAD: pre-trained enterprise-grade Voice Activity Detector

Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"

The official code for the SALMon🍣 benchmark (ICASSP 2025 - Oral)

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

SlamKit is an open source tool kit for efficient training of SpeechLMs. It was used for "Slamming: Training a Speech Language Model on One GPU in a Day"

Tina: Tiny Reasoning Models via LoRA

Efficient Triton Kernels for LLM Training

A next generation Python CMake adaptor and Python API for plugins

A curated list of awesome header-only C++ libraries

Flash Attention in ~100 lines of CUDA (forward pass only)

LLM finetuned for medical question answering

A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations

Minimal reproduction of DeepSeek R1-Zero

Simple RL training for reasoning

solana arbitrage bot across multiple spot dexs

Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference, and more.

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

[ACL 2023] Reasoning with Language Model Prompting: A Survey

Must-read Papers on LLM Agents.

Overview and tutorial of the LangChain Library

A list of AI autonomous agents

Building blocks for foundation models.

Distribute and run LLMs with a single file.

[NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces inference latency by up to 10x for pre-filli…