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acousticbrainz-genre-dataset

The AcousticBrainz Genre Dataset

adversarialnetspapers

The classical paper list with code about generative adversarial nets

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

alda

A music programming language for musicians. :notes:

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

audio_to_midi_melodia

Extract the melody from an audio file and export to MIDI

awesome-music

Awesome Music Projects

awesome-python-scientific-audio

Curated list of python software and packages related to scientific research in audio

awesome-speech-recognition-speech-synthesis-papers

Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

btc-ismir19

"A Bi-Directional Transformer for Musical Chord Recognition" accepted on ISMIR2019

chatglm-6b

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

chords2midi

Create MIDI files from numerical chord progressions!

cnns-speech-music-discrimination

A deep learning framework for Speech-Music discrimination of continuous audio streams

cvae-gan-zoos-pytorch-beginner

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

dalle-mini

DALL·E Mini - Generate images from a text prompt

deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

fraud-detection-using-machine-learning

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graphsvx

Explanation method for Graph Neural Networks (GNNs)

image_classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

improvisation

A program that learns music structure of given midi files and able to generate new melodies by judmental of other compositions. E.g. generate melody in style of Armstrong as negatively judged by Eminem and positively by Bach.

intro2musictech

公众号“无痛入门音乐科技”开源代码

kaldi

This is the official location of the Kaldi project.

lda2vec

learning-music-features

Dartmouth CS74 (Machine Learning) final project: implemented algorithm by Olshausen and Field (1996), ran on piano midi data.