Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
- cpp
- algorithm
- algorithms-implemented
- data-structures
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Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
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.
Roadmap to becoming an Artificial Intelligence Expert in 2022
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
:memo: An awesome Data Science repository to learn and apply for real world problems.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
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 curated list of awesome Deep Learning tutorials, projects and communities.
A complete daily plan for studying to become a machine learning engineer.
Learn Low Level Design (LLD) and prepare for interviews using free resources.
The most cited deep learning papers
TranslatedPumpkin Book (南瓜书, Nangua Shu): Detailed explanations of the formulas in "Machine Learning" (the Watermelon Book, 西瓜书)
TranslatedList of personally collected books PDF download Baidu Cloud e-book download
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
The fastai book, published as Jupyter Notebooks
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Translated✅ (Completed) Super comprehensive deep learning notes [Tudui PyTorch] [Li Mu Dive into Deep Learning] [Andrew Ng Deep Learning] [Dafei LLM Agent]
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Learn OpenCV : C++ and Python Examples
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
TranslatedCollection of CVPR 2026 papers and open-source projects