Data Science
Practice your pandas skills!
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A system-level, binary package and environment manager running on all major operating systems and platforms.
Data sets created for stories on The Pudding, open to the public.
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A curated list of awesome Machine Learning frameworks, libraries and software.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Stable Diffusion web UI
🦜🔗 Build context-aware reasoning applications
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
Robust Speech Recognition via Large-Scale Weak Supervision
The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5
common data analysis and machine learning tasks using python
An Open Source Machine Learning Framework for Everyone
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
📊 Path to a free self-taught education in Data Science!
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,…
Tutorial material on the scientific Python ecosystem
Lectures on scientific computing with python, as IPython notebooks.
scikit-learn: machine learning in Python