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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A curated list of awesome Machine Learning frameworks, libraries and software.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A toolkit for developing and comparing reinforcement learning algorithms.
《Designing Data-Intensive Application》DDIA 第一版 / 第二版 中文翻译
Simple, unified interface to multiple Generative AI providers
An elegant PyTorch deep reinforcement learning library.
Common used path planning algorithms with animations.
Deep universal probabilistic programming with Python and PyTorch
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Classic papers and resources on recommendation
Top2Vec learns jointly embedded topic, document and word vectors.
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
Interactive data analytics
Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
A Comparative Framework for Multimodal Recommender Systems
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
✨✌️✨leetcode刷题 内附leetcode solution代码自动下载生成器（Leetcode solution auto generator)
Versatile End-to-End Recommender System