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audiocraft

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 music generation LM with textual and melodic conditioning.

bifurcation_diagrams

Logistic map and bifurcation diagrams in Python and Jupyter

biosgan

c-rnn-gan

Implementation of C-RNN-GAN.

c-rnn-gan.pytorch

PyTorch implementation of C-RNN-GAN for Music Generation

colorednoise

Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

dataset_tools

Tools to make image Datasets

deepbach

code accompanying "DeepBach: a Steerable Model for Bach Chorales Generation" paper

gansformer

Generative Adversarial Transformers

intro-to-tkinter-youtube-course

machine-learning

Machine and Deep Learning projects using Pytorch

mamba

masterdissertation

mathematical-python

Introduction to Mathematical Computing with Python and Jupyter

matplotlib_tutorial

Source code to go along with my tutorial to learn data visualization with the matplotlib library of Python

ml-electronmicroscopy-2023

nanopore

Codes written while associated with IISc, also contains modified codes from other research groups.

nways_accelerated_programming

opendatasets

A curated collection of datasets for data analysis & machine learning, downloadable with a single Python command

pgs

point group symmetries project

physics

Solving popular physics problems numerically

pyabf

pyABF is a Python package for reading electrophysiology data from Axon Binary Format (ABF) files

qiskit-tutorials

A collection of Jupyter notebooks showing how to use the Qiskit SDK

scrappie

Scrappie is a technology demonstrator for the Oxford Nanopore Research Algorithms group

self-attention-gan

squigglekit

SquiggleKit: A toolkit for manipulating nanopore signal data

topologylayer

A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch

udlbook

Understanding Deep Learning - Simon J.D. Prince