Popular GitHub Repositories for Efficient Architectures

? Empowering everyone to build reliable and efficient smart contracts.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

A high-throughput and memory-efficient inference and serving engine for LLMs

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

??HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

? 卡卡字幕助手 | VideoCaptioner - 基于 LLM 的智能字幕助手 - 视频字幕生成、断句、校正、字幕翻译全流程处理！- A powered tool for easy and efficient video subtitling.

A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

Efficient Triton Kernels for LLM Training

Official PyTorch implementation of PTS/PSRN: Fast and efficient symbolic expression discovery through parallelized tree search. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.

An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

Massively Parallel Deep Reinforcement Learning. ?

A language for constraint-guided and efficient LLM programming.

A unified, comprehensive and efficient recommendation library

A highly efficient implementation of Gaussian Processes in PyTorch