musikalkemist / generating-sound-with-neural-networks

Related projects ⓘ

Alternatives and complementary repositories for generating-sound-with-neural-networks

• musikalkemist / pytorchforaudio
  Code for the "PyTorch for Audio + Music Processing" series on The Sound of AI YouTube channel.
  ☆242Updated 2 years ago
• musikalkemist / Deep-Learning-Audio-Application-From-Design-to-Deployment
  Code and slides for the "Deep learning (audio) application: From design to deployment" tutorials.
  ☆168Updated 8 months ago
• musikalkemist / generating-melodies-with-rnn-lstm
  Repo with code and slides for the "Generating Melodies with RNN-LSTM" YouTuve series.
  ☆114Updated last year
• mostafaelaraby / wavegan-pytorch
  Pytorch Implementation of wavegan model to generate audio
  ☆161Updated 4 years ago
• musikalkemist / generativemusicaicourse
  Resources for the Generative Music AI Course on The Sound of AI YouTube channel.
  ☆148Updated 11 months ago
• musikalkemist / audioDataAugmentationTutorial
  Repository hosting code and slides of the Audio Data Augmentation series on The Sound of AI YT channel.
  ☆38Updated 2 years ago
• GuitarsAI / MLfAS
  Machine Learning for Audio Signals in Python
  ☆48Updated 3 years ago
• music-classification / tutorial
  2021 ISMIR tutorial - music classification
  ☆143Updated 2 years ago
• drscotthawley / ml-audio-start
  Suggestions for those interested in developing audio applications of machine learning
  ☆177Updated last year
• musikalkemist / praudio
  Audio preprocessing framework for Deep Learning audio applications
  ☆123Updated last year
• jordipons / sklearn-audio-transfer-learning
  A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn
  ☆142Updated last year
• juansgomez87 / datasets_emotion
  This repository collects information about different data sets for Music Emotion Recognition.
  ☆221Updated last year
• AI-Guru / MMM-JSB
  Multi-Track Music Generation with the Transfomer and the Johann Sebastian Bach Chorales dataset
  ☆121Updated 7 months ago
• moiseshorta / MelSpecVAE
  Variational Autoencoder in the mel-spectrogram domain for one-shot audio synthesis
  ☆129Updated 2 years ago
• jonnor / machinehearing
  Machine Learning applied to sound
  ☆241Updated 5 months ago
• p-lambda / jukemir
  Perform transfer learning for MIR using Jukebox!
  ☆173Updated last year
• csteinmetz1 / dasp-pytorch
  Differentiable audio signal processors in PyTorch
  ☆226Updated 11 months ago
• alexanderlerch / pyACA
  Python scripts accompanying the book "An Introduction to Audio Content Analysis" (www.AudioContentAnalysis.org)
  ☆154Updated 2 months ago
• ismir / mir-datasets
  Simple collection of MIR datasets with metadata and links
  ☆235Updated 6 months ago
• slychief / ismir2018_tutorial
  ☆120Updated 4 years ago
• musikalkemist / open-source-research
  ☆13Updated 3 years ago
• slSeanWU / jazz_transformer
  Transformer-XL for Jazz music composition. Paper: "The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-Composed Musi…
  ☆122Updated last year
• musikalkemist / DeepLearningForAudioWithPython
  Code and slides for the "Deep Learning (For Audio) With Python" course on TheSoundOfAI Youtube channel.
  ☆639Updated last year
• CVxTz / music_genre_classification
  music genre classification : LSTM vs Transformer
  ☆61Updated last year
• thamsuppp / MusicGenDL
  Generating Music using Deep Learning
  ☆104Updated 3 years ago
• adityashrm21 / music-classification-cnn-pytorch
  Music genre classification using Convolutional Neural Networks on Spectrograms in PyTorch
  ☆38Updated 5 years ago
• Spijkervet / CLMR
  Official PyTorch implementation of Contrastive Learning of Musical Representations
  ☆309Updated 3 months ago
• sweetcocoa / ddsp-pytorch
  Implementation of DDSP (PyTorch), Differentiable Digital Signal Processing (ICLR 2020)
  ☆151Updated 3 years ago
• AI-Guru / musictransformer2023
  ☆33Updated last year
• annahung31 / EMOPIA
  Emotional conditioned music generation using transformer-based model.
  ☆140Updated 2 years ago