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Starred repositories
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.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Best Practices, code samples, and documentation for Computer Vision.
this repository accompanies the book "Grokking Deep Learning"
A scikit-learn compatible neural network library that wraps PyTorch
Open-source and strong foundation image recognition models.
An educational AI robot based on NVIDIA Jetson Nano.
Massively parallel rigidbody physics simulation on accelerator hardware.
Koç University deep learning framework.
Learn Julia via interactive tutorials!
Examples of matplotlib codes and plots
Tools to train a generative model on arbitrary audio samples
Utility functions for handling MIDI data in a nice/intuitive way.
Tutorials and information on the Julia language for MIT numerical-computation courses.
A delightful and complete interface to GitHub's amazing API
Jupyter notebooks for the Julia Scientific Programming course on Coursera
Advanced Julia for undergraduate physicists
Julia Programming Projects, published by Packt
Benchmarking a simple PDE integration algorithm in Julia and other languages
Material for "Differentiable programming with Flux" at ODSC East & Europe, 2019
RL algorithms from basic one to state-of-the-art
Hosts a wiki mapping MATLAB functionality to similar functionality in Julia
Julia notebooks intended for workshops