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assignment

asteroid

The PyTorch-based audio source separation toolkit for researchers

bpe-symbolic-music

Code of the paper "Byte Pair Encoding for Symbolic Music" (EMNLP 2023). Better and faster music generation

classical-piano-composer

coursera-generative-adversarial-networks-gans-specialization

Coursera Generative Adversarial Networks (GANs) Specialization

deadlock

Deadlock folder

deep-learning-andrewng-deeplearning.ai

Contains all course modules, exercises and notes of Deep Learning Specialization by Andrew Ng, and DeepLearning.ai in Coursera

deep-learning-specialization

Contains Solutions to Deep Learning Specailization - Coursera

deepbach

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

deepbach-pp

DeepBach project files for DeepLearning course , original here https://github.com/Ghadjeres/DeepBach

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deeplearning.ai-natural-language-processing-specialization

This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.

demucs

Code for the paper Hybrid Spectrogram and Waveform Source Separation

emo

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

giantmidi-piano

gpurir

Python library for Room Impulse Response (RIR) simulation with GPU acceleration

how_to_generate_music_in_tensorflow_live

icocnn

Pytorch implementation of the icosahedral CNNs

icodoa

Code repository for the paper Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs

intro-neural-nets

The repository for the tutorial series on neural networks by Kie Codes. (https://www.youtube.com/watch?v=51EoNgwoaTo&list=PLuZkwckxno0roLi1l4FoxxQiHmTd5DKn7)

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

kaggle-digit-recognizer

MNIST is the de facto “hello world” dataset of computer vision. In this competition, our goal is to correctly identify digits from a dataset of handwritten images.

lenet-5-with-keras

Implementation of LeNet-5 with keras

mac-ml-speed-test

A few quick scripts focused on testing TensorFlow/PyTorch/Llama 2 on macOS.

machine-learning-andrew-ng

Implementations in python of methods and programming assignments of course Machine Learning of Coursera by Andrew Ng

machine-learning-andrewng-deeplearning.ai

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

machine_learning_from_scratch