Trending AI repositories

huggingface/

transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

rasbt/

LLMs-from-scratch

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

dair-ai/

Prompt-Engineering-Guide

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

asgeirtj/

system_prompts_leaks

Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT GPT-5.6, Codex GPT-5.6, GPT-5.5. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.

ray-project/

ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

rohitg00/

ai-engineering-from-scratch

Learn it. Build it. Ship it for others.

AccumulateMore/

CV

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

liyupi/

ai-guide

程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术，走在时代前沿。本项目为开源文档 aiguide，已升级为鱼皮 AI 导航网站

Lightning-AI/

litgpt

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

wanshuiyin/

Auto-claude-code-research-in-sleep

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

openvinotoolkit/

openvino

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

yzhao062/

pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

activeloopai/

deeplake

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

bentoml/

BentoML

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

alirezadir/

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

ashishps1/

learn-ai-engineering

Learn AI and LLMs from scratch using free resources

opensquilla/

opensquilla

OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density

yanshengjia/

ml-road

Machine Learning and Agentic AI Resources, Practice and Research

Nixtla/

nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

milvus-io/

bootcamp

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

raiyanyahya/

how-to-train-your-gpt

Build a modern LLM from scratch. Every line commented. Explained like we are five.

lancedb/

vectordb-recipes

Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs

fancyboi999/

ai-engineering-from-scratch-zh

Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南

ahammadmejbah/

Awesome-Datasets-Hub

A curated collection of datasets for Large Language Models (LLMs), covering medical AI, NLP, multimodal learning, instruction tuning, reasoning, code generation, and evaluation benchmarks.

Reyzowter/

Hello-Agents

🤖 Building AI Agent Systems from Scratch — A comprehensive, practical tutorial from fundamentals to production-grade multi-agent applications

ather-techie/

rag-interview-system

A complete collection of RAG interview questions, answers (505 questions & 41 RAG types), system design scenarios, architecture patterns, and production-ready concepts.

llmsresearch/

llm-flashcards

Visual knowledge bank for understanding large language models, with 180 concept cards from tokenization to deployment.