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course-v3

The 3rd edition of course.fast.ai

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

ctc

Speech recognition with CTC in Keras with Tensorflow backend

ctc_tensorflow_example

CTC + Tensorflow Example for ASR

cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

deep-image-prior

Image restoration with neural networks but without learning.

deepdenoisingautoencoder

Tensorflow implementation for Speech Enhancement (DDAE)

dnp

Audio Denoising with Deep Network Priors

end-to-end-speech-enhancement-based-on-discrete-cosine-transform

fider

Open platform to collect and prioritize product feedback

griffin_lim

Implementation of the Griffin and Lim algorithm to recover an audio signal from a magnitude-only spectrogram.

griffin_lim-1

A TensorFlow implementation of Griffin-Lim algorithm

hands-on-generative-adversarial-networks-with-keras

Hands-On Generative Adversarial Networks with Keras, published by Packt

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

littleinferencebook

A book for the coursera statistical inference class

metricgan

MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement (ICML 2019)

n2v

This is the implementation of Noise2Void training.

noise2noise

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

noise2noise-audio_denoising_without_clean_training_data

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.

noise2self

A framework for blind denoising with self-supervision.

ofgodsandmen

GGJ 2014 - Prototype

particle-filter-demo

Visualization for particle filter

phase-reconstruction

phase reconstruction from magnitude terms of an STFT

porcupine

On-device wake word detection powered by deep learning.

python-adaptive-signal-processing-handbook

Python adaptive signal processing tutorials

python-pesq

PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users using cython

real-time-collaborative-text-editor

A rich-text collaborative editor which allows multiple users to edit the same document at the same time. Uses CRDT and web-socket for real-time collabroation

redgate.metrics

Metric generation used at Redgate Software

redox-data-model-builder

A JSON schema to .Net Class library converter for Redox Data Model

rnnoise

Recurrent neural network for audio noise reduction