1.rohitg00 / ai-engineering-from-scratch
Learn AI Engineering! Learn it. Build it. Ship it for others.
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1–100 of 156 by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Learn AI Engineering! Learn it. Build it. Ship it for others.
A community-supported supercharged document management system: scan, index and archive all your documents
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.
🐍 Geometric Computer Vision Library for Spatial AI
Open Data Platform for analysts, quants and AI agents.
🤗 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.
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.
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
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.
《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 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.
Streamlit — A faster way to build and share data apps.
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.
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
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 Engineering Open Book
scikit-learn: machine learning in Python
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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
🧑🏫 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 hyperparameter optimization framework
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.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
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.
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
Open Machine Learning Compiler Framework
A collaboration friendly studio for NeRFs
Deep Learning for humans
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
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.
Build, Manage and Deploy AI/ML Systems
Open standard for machine learning interoperability
💫 Industrial-strength Natural Language Processing (NLP) in Python
A MNIST-like fashion product database. Benchmark :point_down:
Module for statistical learning, with a particular emphasis on time-dependent modelling
🤗 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
Python Stream Processing
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
🦉 Data Versioning and ML Experiments
Fast and Accurate ML in 3 Lines of Code
Lightning ⚡️ fast forecasting with statistical and econometric models.
Datasets, Transforms and Models specific to Computer Vision
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
机器学习相关教程
Low-code framework for building custom LLMs, neural networks, and other AI models
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Best Practices on Recommendation Systems
A self-hosted open source photo management service.
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.
💬 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
🌊 Online machine learning in Python
NVIDIA cuML: GPU-Accelerated Machine Learning
Scalable and user friendly neural :brain: forecasting algorithms.
:sunglasses: A curated list of robotics libraries and software
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
The world's simplest facial recognition api for Python and the command line
NLTK Source
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.
An open source python library for automated feature engineering
Python audio and music signal processing library
Deepfakes Software For All
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Open Machine Learning Course
The Open Source Feature Store for AI/ML
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Elyra extends JupyterLab with an AI centric approach.
Portfolio optimization with deep learning.
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.
Open source annotation tool for machine learning practitioners.
: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
Uplift modeling and causal inference with machine learning algorithms
A python library for self-supervised learning and latent world models on images.
Feature engineering and selection open-source Python library compatible with sklearn.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Scalable machine 🤖 learning for time series forecasting.
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Largest list of models for Core ML (for iOS 11+)
A Python scikit for building and analyzing recommender systems
A Python implementation of LightFM, a hybrid recommendation algorithm.
modular quant framework.
Python Streaming DataFrames for Kafka
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research