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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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Code release for NeRF (Neural Radiance Fields)
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
this repository accompanies the book "Grokking Deep Learning"
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Massively parallel rigidbody physics simulation on accelerator hardware.
A Haskell kernel for the Jupyter project.
A collection of Jupyter notebooks showing how to use the Qiskit SDK
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
Koç University deep learning framework.
Learn Julia via interactive tutorials!
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Pilot course for Robotics 101: Computational Linear Algebra
18.335 - Introduction to Numerical Methods course
Scientific Python Geometric Algorithms Library
CFA (Colour Filter Array) demosaicing algorithms for Python
A (modern) C++ implementation of the Peter Shirley Ray Tracing mini-books (https://raytracing.github.io). Features a clean project structure, perf. improvements (compared to the original code), mul…
practical introduction to Python for machine learning, with pandas and scikit-learn - Sept 2014
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and …