mogwai Goto Github PK

ansible-notes

course-v3

The 3rd edition of course.fast.ai

covid-scraper

css-loading-icon

A quick code snippet for creating an animated loading icon with CSS.

cuda-pmpp

Exercises and Experiments with CUDA

denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

depth_perception

descript-audio-codec

State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.

dl_test

Download Speed Test Server

dynamoose-caching

A plugin for the dynamoose module that allows you to integrate custom caching strategies

face-detector

facerec-drone

Tello Drone controlled using python and dlib

fastai

The fastai deep learning library, plus lessons and tutorials

fastai-gridsearch

fastai-siamese

Siamese Networks with Fastai

fastai_dev

development of the next version of fastai

fastai_rl

fastapi-template

fastaudio

h-js-utils

Useful stuff for js

ingress-docker-compose

Docker Compose reverse nginx proxy

kubernetes-examples

learningml

loudmouth

Xamarin.Android App that uses the MS Speaker Recognition API

mogwai

nano

Blueprint project for starting simple torch repos

nanodrz

Speaker Diarization with Transformers

prelect

Predicting the General Election in the UK

pwa-audio-recorder

🔊 Record Audio and send to specified server on your 📱 or 🖥️

pyannote-database

Reproducible experimental protocols for multimedia (audio, video, text) database