1.rohitg00 / ai-engineering-from-scratch
Learn AI Engineering! Learn it. Build it. Ship it for others.
Ranked by Attention Score: stars gained over the last 90 complete days
1–100 of 566 by Attention Score · Aug 5, 2026 – Nov 2, 2026 (UTC)
Learn AI Engineering! Learn it. Build it. Ship it for others.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
12 Weeks, 24 Lessons, AI for All!
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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.
Production-grade Rust-native trading engine with deterministic event-driven architecture
🤗 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.
An Open Source Machine Learning Framework for Everyone
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.
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
Open Data Platform for analysts, quants and AI agents.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A community-supported supercharged document management system: scan, index and archive all your documents
The Modular Platform (includes MAX & Mojo)
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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.
《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。
We write your reusable computer vision tools. 💜
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Bindu: The identity, communication, and payments layer for AI agents.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Vane is an AI-powered answering engine.
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
List of Computer Science courses with video lectures.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Tesseract Open Source OCR Engine (main repository)
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
The fastest path to AI-powered full stack observability, even for lean teams.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
scikit-learn: machine learning in Python
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
Machine Learning Engineering Open Book
✅(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】
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
Cross-platform, customizable ML solutions for live and streaming media.
Learn ML engineering for free in 4 months! Register here 👇🏼
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Learn how to develop, deploy and iterate on production-grade ML applications.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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.
Streamlit — A faster way to build and share data apps.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Google Research
Nmap - the Network Mapper. Github mirror of official SVN repository.
吴恩达老师的机器学习课程个人笔记
🔥Highlighting the top ML papers every week.
[🔥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
🧑🏫 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, ... 🧠
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
100 Days of ML Coding
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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。
Deepfakes Software For All
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
AI-Powered Photos App 🌈💎✨
A curated list of awesome Deep Learning tutorials, projects and communities.
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
🐍 Geometric Computer Vision Library for Spatial AI
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
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.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
A hyperparameter optimization framework
Content aware image resize library
The Julia Programming Language
Open standard for machine learning interoperability
Visualizer for neural network, deep learning and machine learning models
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
VIP cheatsheets for Stanford's CS 229 Machine Learning
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
The world's simplest facial recognition api for Python and the command line
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Open3D: A Modern Library for 3D Data Processing
The fastai book, published as Jupyter Notebooks
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
machine learning and deep learning tutorials, articles and other resources
Refine high-quality datasets and visual AI models