There are 3,624 repositories under data-science topic.
Deep Learning for humans
scikit-learn: machine learning in Python
Apache Superset is a Data Visualization and Data Exploration Platform
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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 responsibly develop, deploy and maintain production machine learning applications.
💫 Industrial-strength Natural Language Processing (NLP) in Python
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.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
Roadmap to becoming an Artificial Intelligence Expert in 2022
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Streamlit — The fastest way to build data apps in Python
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.
Deep learning framework to train, deploy, and ship AI products Lightning fast.
:memo: An awesome Data Science repository to learn and apply for real world problems.
10 Weeks, 20 Lessons, Data Science for All!
The fastai book, published as Jupyter Notebooks
matplotlib: plotting with Python
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Best Practices on Recommendation Systems
VIP cheatsheets for Stanford's CS 229 Machine Learning
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
Create UIs for your machine learning model in Python in 3 minutes
Topic Modelling for Humans
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Your new Mentor for Data Science E-Learning.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
The "Python Machine Learning (1st edition)" book code repository and info resource
A curated list of awesome big data frameworks, ressources and other awesomeness.
The easiest way to orchestrate and observe your data pipelines
An open-source NLP research library, built on PyTorch.