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awesome-dataset-tools

A curated list of awesome dataset tools

bergan

chartransformer_playground

playing around with training character-level Transformers

esm_if_finetuning

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

expressive_wae_fader

companion repository to the DAFx-19 paper "Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders" by Adrien Bitton, Philippe Esling et al.

hello_pt

supporting repository for the AIDD tutorial on PyTorch and introduction to Deep Learning

intership-expressive-ddsp

learnopencv

Learn OpenCV : C++ and Python Examples

misc

just hosting bits of codes

neural_granular_synthesis

ICMC 2020 "Neural Granular Sound Synthesis"

oneshot_drum_classification

An experiment on automatic classification of drum one-shots for large-scale dataset creation and DrumKit inference

perceptualaudio_pytorch

Pytorch implementation of "A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences", Pranay Manocha et al. - unofficial work in progress

pytorch_flows

Implementation and tutorials of normalizing flows with the novel distributions module

scikit-mol

scikit-learn classes for molecular vectorization using RDKit

seminar_geidai_ai_music

Page and materials for the 2nd Seminar on Artificial Intelligence applied to Sound and Music Composition, Tokyo University of the Arts, 15th of January 2020.

timbre_exploration

Additional materials for "TIMBRE LATENT SPACE: EXPLORATION AND CREATIVE ASPECTS"

timbre_move

Modulated Variational Auto-Encoders for Many-to-Many Musical Timbre Transfer

variational-timbre

Generative timbre spaces by perceptually regularizing variational auto-encoders

vq-vae-timbre

Demonstration materials for: Adrien Bitton, Philippe Esling and Tatsuya Harada, Vector-Quantized Timbre Representation (available on Arxiv).