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adaptive_voice_conversion

asteroid

The PyTorch-based audio source separation toolkit for researchers

asv-subtools

An Open Source Tools for Speaker Recognition

coding-interview-university

A complete computer science study plan to become a software engineer.

ctci-6th-edition-python

Cracking the Coding Interview 6th Ed. Python Solutions

deepspeech2-online-decoder

Online (real-time) decoder to be used with DeepSpeech2 model

deepul

dlcookbook-dlbs

Deep Learning Benchmarking Suite

dvae-speech

e2e-asr

PyTorch Implementations for End-to-End Automatic Speech Recognition

espnet

End-to-End Speech Processing Toolkit

espnet-semi-supervised

ESPnet extensions for semi-supervised end-to-end speech recognition

espresso

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

example-voting-app

Example Docker Compose app

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fast-transformers

Pytorch library for fast transformer implementations

fastformer

A pytorch implementation and demo of Fastformer.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

generative_models

Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE

health-checks

Scripts that check the health of my computers

interviews

Everything you need to know to get the job.

kaldi

This is now the official location of the Kaldi project.

kaldi-active-grammar

Python Kaldi speech recognition with grammars that can be set active/inactive dynamically at decode-time

kaldi-model-server

Simple Kaldi model server for chain (nnet3) models in online recognition mode directly from a local microphone

kaldiwebrtcserver

Python server for communicating with Kaldi from the browser using WebRTC

lahiruts.github.io

lite-transformer

[ICLR 2020] Lite Transformer with Long-Short Range Attention

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

nemo

NeMo: a toolkit for conversational AI

neural_sp

End-to-end ASR/LM implementation with PyTorch