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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

CC0-1.01716700

python_speech_features

This library provides common speech features for ASR including MFCCs and filterbank energies.

Language:PythonMIT235100

awesome-speech-recognition-speech-synthesis-papers

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

MIT291900

tensorflow

An Open Source Machine Learning Framework for Everyone

Language:C++Apache-2.018413700

elasticsearch

Free and Open, Distributed, RESTful Search Engine

Language:JavaNOASSERTION6866400

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

Language:PythonApache-2.0559700

derailed_benchmarks

Go faster, off the Rails - Benchmarks for your whole Rails app

Language:Ruby294300

activejob-retry

Automatic retries for ActiveJob

Language:RubyMIT13700

simple-password-gen

Simple Ruby-powered password generator

Language:RubyNOASSERTION1600

ansible-roles

Ansible roles for Ubuntu server

Language:Shell300

mailboxer

A Rails gem to send messages inside a web application

Language:RubyMIT164100

speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

Language:PythonApache-2.0393000

speech-to-text-wavenet

Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

Language:PythonApache-2.01900

xlsx generation with charts, images, automated column width, customizable styles and full schema validation. Axlsx excels at helping you generate beautiful Office Open XML Spreadsheet documents without having to understand the entire ECMA specification. Check out the README for some examples of how easy it is. Best of all, you can validate your xlsx file before serialization so you know for sure that anything generated is going to load on your client's machine.

Language:RubyMIT261700