Jeonghwan Choi's starred repositories
pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
dual-path-RNNs-DPRNNs-based-speech-separation
A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".
Conv-TasNet-PyTorch
A PyTorch implementation of Conv-TasNet
two_step_mask_learning
A two step optimization for sound source separation on the adaptive front-end domain
speech_separation
Constrained Permutation Invariant Training, Speech Separation
awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
PlotNeuralNet
Latex code for making neural networks diagrams
cvxpylayers
Differentiable convex optimization layers
icassp2019-tutorial
ICASSP2019 Tutorial: Detection and Classification of Acoustic Scenes and Events / Code examples
beamformit_matlab
A MATLAB implementation of CHiME4 baseline Beamformit
melgan-neurips
GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis
awesome-latex-drawing
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
beamformers
Easy to use Beamformers for multi-channel speech separation/enhancement
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications