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 30 complete days
1–100 of 240 by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
Learn AI Engineering! Learn it. Build it. Ship it for others.
🤗 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.
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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A community-supported supercharged document management system: scan, index and archive all your documents
Open Data Platform for analysts, quants and AI agents.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
《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。
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.
Machine Learning Engineering Open Book
scikit-learn: machine learning in Python
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
We write your reusable computer vision tools. 💜
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
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.
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.
🐍 Geometric Computer Vision Library for Spatial AI
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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.
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
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🧑🏫 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, ... 🧠
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
A hyperparameter optimization framework
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.
The world's simplest facial recognition api for Python and the command line
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A collaboration friendly studio for NeRFs
Deep Learning for humans
Open Machine Learning Compiler Framework
Open standard for machine learning interoperability
💫 Industrial-strength Natural Language Processing (NLP) in Python
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Deepfakes Software For All
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
🦉 Data Versioning and ML Experiments
Best Practices on Recommendation Systems
Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Datasets, Transforms and Models specific to Computer Vision
Fast and Accurate ML in 3 Lines of Code
Module for statistical learning, with a particular emphasis on time-dependent modelling
Real-time face swap for PC streaming or video calls
Build, Manage and Deploy AI/ML Systems
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A self-hosted open source photo management service.
机器学习相关教程
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
A unified framework for machine learning with time series
Lightning ⚡️ fast forecasting with statistical and econometric models.
A MNIST-like fashion product database. Benchmark :point_down:
Open Machine Learning Course
Bindu: The identity, communication, and payments layer for AI agents.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Message Passing Neural Networks for Molecule Property Prediction
The Open Source Feature Store for AI/ML
A python library for user-friendly forecasting and anomaly detection on time series.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
NLTK Source
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
:sunglasses: A curated list of robotics libraries and software
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
🌊 Online machine learning in Python
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Open source annotation tool for machine learning practitioners.
Scalable and user friendly neural :brain: forecasting algorithms.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Low-code framework for building custom LLMs, neural networks, and other AI models
Uplift modeling and causal inference with machine learning algorithms
Topic Modelling for Humans
NVIDIA cuML: GPU-Accelerated Machine Learning
DeepFaceLab is the leading software for creating deepfakes.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Scalable machine 🤖 learning for time series forecasting.
Largest list of models for Core ML (for iOS 11+)
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Optax is a gradient processing and optimization library for JAX.
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Python Stream Processing
Python audio and music signal processing library
Portfolio optimization with deep learning.
A system for quickly generating training data with weak supervision
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.