1.microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Ranked by Attention Score: stars gained over the last 180 complete days
16 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Visualizer for neural network, deep learning and machine learning models
Your Friendly Open-Source Gen-AI Platform
machine learning and deep learning tutorials, articles and other resources
深度学习入门教程, 优秀文章, Deep Learning Tutorial
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
NSFW detection on the client-side via TensorFlow.js
Low-code framework for building custom LLMs, neural networks, and other AI models
The machine learning toolkit for time series analysis in Python
A curated list of awesome anomaly detection resources
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.