There are 4,002 repositories under data-science topic.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Deep Learning for humans
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Roadmap to becoming an Artificial Intelligence Expert in 2022
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
10 Weeks, 20 Lessons, Data Science for All!
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.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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 ;)
:memo: An awesome Data Science repository to learn and apply for real world problems.
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.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
matplotlib: plotting with Python
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Best Practices on Recommendation Systems
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
VIP cheatsheets for Stanford's CS 229 Machine Learning
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
📺 Discover the latest machine learning / AI courses on YouTube.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.