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Python Data Science Handbook: full text in Jupyter Notebooks
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.
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 ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
A scikit-learn compatible neural network library that wraps PyTorch
Beaker Extensions for Jupyter Notebook
IPython Parallel: Interactive Parallel Computing in Python
3D-printable hexagonal mirror array capable of reflecting sunlight into arbitrary patterns
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Materials for my scikit-learn tutorial
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
USC urban data science course series in Python
An introduction to network analysis and applied graph theory using Python and NetworkX
A deep dive into embeddings starting from fundamentals
Tutorials and information on the Julia language for MIT numerical-computation courses.
Misc data visualization projects, examples, and demos: mostly Python (pandas + matplotlib) and JavaScript (leaflet).
Use Jupyter Notebook in mkdocs
Making carbon footprint data available to everyone.
Notebooks and libraries for spatial/geo Python explorations