Popular GitHub Repositories for Efficiency Boosters

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

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

??Maximize your efficiency and productivity, support for English,中文,Espa?ol,???????. 让生产力加倍的AI快捷指令。更有效地定制、保存和分享自己的提示词。在提示词分享社区中，轻松找到适用于不同场景的指令。

Supercharge Your Model Training

?? Lobe theme - The modern theme for stable diffusion webui, exquisite interface design, highly customizable UI, and efficiency boosting features.

High-efficiency floating-point neural network inference operators for mobile, server, and Web

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

This is a collection of our NAS and Vision Transformer work.

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024

AutoGroq is a groundbreaking tool that revolutionizes the way users interact with Autogen? and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq eliminates the need for manual configuration and allows you to tackle any question, problem, or project with ease and efficiency.

High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

Unsupervised text tokenizer focused on computational efficiency

[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design

Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models

Official codes of CCSRv2 and CCSRv1: Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution

A Next.js-based AI writing assistant supporting multiple LLM APIs (OpenAI, Claude, Gemini, etc.) with rich style customization features to help content creators improve quality and efficiency.