There are 3,856 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
Apache Superset is a Data Visualization and Data Exploration Platform
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.
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.
Streamlit — A faster way to build and share data apps.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Roadmap to becoming an Artificial Intelligence Expert in 2022
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.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
10 Weeks, 20 Lessons, Data Science for All!
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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.
:memo: An awesome Data Science repository to learn and apply for real world problems.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
The fastai book, published as Jupyter Notebooks
matplotlib: plotting with Python
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.
Topic Modelling for Humans
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Your new Mentor for Data Science E-Learning.
Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
🦉 ML Experiments Management with Git
A curated list of awesome big data frameworks, ressources and other awesomeness.
The "Python Machine Learning (1st edition)" book code repository and info resource