kevinwebster's repositories
so-vits-svc-5.0
Core Engine of Singing Voice Conversion & Singing Voice Clone
PySoundFile
PySoundFile is an audio library based on libsndfile, CFFI, and NumPy
CLIP
Contrastive Language-Image Pretraining
ai-audio-startups
Community list of startups working with AI in audio and music technology
AudioCLIP
Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)
MscProjectNMR
Resolution of NMR signals using deep neural networks
jukebox
Code for "Jukebox: A Generative Model for Music"
bigbird
Transformers for Longer Sequences
hunspell
High-Performance Stemmer, Tokenizer, and Spell Checker for R
TransformerTTS
🤖💬 Implementation of a Transformer based neural network for text to speech.
spleeter
Deezer source separation library including pretrained models.
sklearn_tutorial
Materials for my scikit-learn tutorial
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deeplearning-models
A collection of various deep learning architectures, models, and tips
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
applied-dl
A collection of materials for a new course being taught in Spring 2019.
autograd
Efficiently computes derivatives of numpy code.
breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
dl-imperial-maths
Code and assignment repository for the Imperial College Mathematics department Deep Learning course
SOM-VAE
TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
FloWaveNet
A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"
ismir2018-oss-tutorial
ISMIR2018 Tutorial on Open Source and Reproducibility in MIR Research
tf-pose-estimation
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.