《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。
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Learn AI Engineering! Learn it. Build it. Ship it for others.
🧑🏫 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
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
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
PyTorch Tutorial for Deep Learning Researchers
- deep-learning
- pytorch-tutorial
- neural-networks
- pytorch
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
- artificial-intelligence
- cloud-ml
- computer-systems
- courseware
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.
deep learning for image processing including classification and object-detection etc.
- pytorch
- tensorflow2
- classification
- object-detection
100-Days-Of-ML-Code中文版
- machine-learning
- python
- 100-days-of-ml-code
- chinese-simplified
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
Code samples for my book "Neural Networks and Deep Learning"
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
- machine-learning
- machine-intelligence
- artificial-intelligence
- reinforcement-learning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
- transferlearning
- domain-adaptation
- transfer-learning
- survey
Low-code framework for building custom LLMs, neural networks, and other AI models
Minimal and clean examples of machine learning algorithms implementations
- machine-learning
- deep-learning
- neural-networks
- machine-learning-algorithms
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
:satellite: All You Need to Know About Deep Learning - A kick-starter
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
A best practice for tensorflow project template architecture.
- tesnorflow
- software-engineering
- oop
- deep-learning
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.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing