There are 3,267 repositories under data-science topic.
Deep Learning for humans
scikit-learn: machine learning in Python
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Learn how to responsibly deliver value with ML.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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.
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.
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
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.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
matplotlib: plotting with Python
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
VIP cheatsheets for Stanford's CS 229 Machine Learning
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Topic Modelling for Humans
Best Practices on Recommendation Systems
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
The "Python Machine Learning (1st edition)" book code repository and info resource
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
10 Weeks, 20 Lessons, Data Science for All!
A curated list of awesome big data frameworks, ressources and other awesomeness.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.