Fully open reproduction of DeepSeek-R1

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

这是一个用于显示当前网速、CPU及内存利用率的桌面悬浮窗软件，并支持任务栏显示，支持更换皮肤。

Transparent and Efficient Financial Analysis

Robust recipes to align language models with human and AI preferences

Create Docs for code repository using LLM

⛳️ PASS: Google Cloud Platform (GCP) Associate Cloud Engineer (ACE) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

Rent Receipt Generator

A model algorithm to provide practical insights into pricing mechanisms

RayLLM - LLMs on Ray

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

Modular Auto-GPT Framework

Lord of Large Language and Multi modal Systems Web User Interface

Python bindings for llama.cpp

This repository contains demos I made with the Transformers library by HuggingFace.

An Open-source Toolkit for LLM Development

LLM inference in C/C++

A simple library for implementing common design patterns.

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

Nightly release of ControlNet 1.1

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Source code for Twitter's Recommendation Algorithm