1.rohitg00 / ai-engineering-from-scratch
Learn AI Engineering! Learn it. Build it. Ship it for others.
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Learn AI Engineering! Learn it. Build it. Ship it for others.
List of Computer Science courses with video lectures.
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.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🐍 Geometric Computer Vision Library for Spatial AI
🤗 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.
Faster Whisper transcription with CTranslate2
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
12 Weeks, 24 Lessons, AI for All!
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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
零基础入门大模型(LLM)的基础教程:从零手写 GPT-2,一行行看懂大模型是怎么工作的 | Build GPT-2 from scratch in PyTorch, step by step
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Nano vLLM
3,516 curated Figure 1 / teasers from ICLR, ICML, NeurIPS, CVPR, ACL, AAAI (2023-2026), with tier badges and FigureForge retrieval-augmented figure drafting
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Cross-platform, customizable ML solutions for live and streaming media.
We write your reusable computer vision tools. 💜
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
Streamlit — A faster way to build and share data apps.
Open Source Computer Vision Library
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Stable Diffusion web UI
Learn how to develop, deploy and iterate on production-grade ML applications.
✅(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】
100 Days of ML Coding
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
邱锡鹏《神经网络与深度学习》第二版与通识版:电子书、章节目录、学习资源与勘误。
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
High-performance In-browser LLM Inference Engine
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Visualizer for neural network, deep learning and machine learning models
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Refine high-quality datasets and visual AI models
CUDA Templates and Python DSLs for High-Performance Linear Algebra
A curated list of awesome Deep Learning tutorials, projects and communities.
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
The fastai book, published as Jupyter Notebooks
Open Machine Learning Compiler Framework
An open-source, tool-augmented conversational language model from Fudan University
A collaboration friendly studio for NeRFs
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)
Deep Learning for humans
:memo: An awesome Data Science repository to learn and apply for real world problems.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
An open source implementation of CLIP.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Open-source simulator for autonomous driving research.
The fastai deep learning library
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
ncnn is a high-performance neural network inference framework optimized for the mobile platform
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
VIP cheatsheets for Stanford's CS 229 Machine Learning
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Open standard for machine learning interoperability
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
💫 Industrial-strength Natural Language Processing (NLP) in Python
CVPR 2026 论文和开源项目合集
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
A MNIST-like fashion product database. Benchmark :point_down:
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Fast and accurate AI powered file content types detection
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
A PyTorch-based Speech Toolkit
Optimized primitives for collective multi-GPU communication
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!