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Repository Index
47,133 repositories indexed
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
List of Computer Science courses with video lectures.
《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。
Learn AI Engineering! Learn it. Build it. Ship it for others.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
- system-design
- backend
- scalability
- interview
A curated list of awesome Machine Learning frameworks, libraries and software.
🧑🏫 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, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
- tensorflow
- tutorial
- examples
- deep-learning
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
- awesome
- machine-learning
- deep-learning
- machine-learning-projects
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
- cpp
- algorithm
- algorithms-implemented
- data-structures
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.
- machine-learning
- deep-learning
- deep-reinforcement-learning
- machine-learning-from-scratch
Roadmap to becoming an Artificial Intelligence Expert in 2022
: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.
A curated list of awesome Deep Learning tutorials, projects and communities.
南瓜书：《机器学习》（西瓜书）公式详解
- machine-learning
- pumpkin-book
- book
Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics
The fastai book, published as Jupyter Notebooks
- notebooks
- fastai
- deep-learning
- machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained