6290 Open source projects that are alternatives of or similar to Asrgen

StarNet

Attention, I'm Trying to Speak: End-to-end speech synthesis (CS224n '18)

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

Text to Speech with PyTorch (English and Mongolian)

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

pytorch tacotron2 https://arxiv.org/pdf/1712.05884.pdf

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

NeMo: a toolkit for conversational AI

Spokestack: give your iOS app a voice interface!

Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

Spokestack: give your React Native app a voice interface!

Sequence-to-Sequence Framework in PyTorch

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

Implementation of Google Brain's WaveGrad high-fidelity vocoder (paper: https://arxiv.org/pdf/2009.00713.pdf). First implementation on GitHub.

Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!

A Pytorch implementation for the ZeroSpeech 2019 challenge.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

INTERSPEECH 2019 Tutorial Materials

Aulas da Escola de Inteligência Artificial de São Paulo

Myanmar (Burmese) Language Grapheme to Phoneme (myG2P) Conversion Dictionary for speech recognition (ASR) and speech synthesis (TTS).

Synthetic Data Generation for tabular, relational and time series data.

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Generative Adversarial Networks implemented in PyTorch and Tensorflow

🏖 Keras Implementation of Painting outside the box

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Attempting to make the Deep Learning Book easier to understand.

My IJulia notebooks

Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)

A collection of Machine Learning Google_Colab_Notebooks

MET CS 777 Big Data Analytics

Udacity Machine Learning Engineer Nanodegree

Stock price trend analysis using Fourier transform

Ensemble Machine Learning Cookbook, published by Packt

Synthetic Medical Images from Dual Generative Adversarial Networks

Large-scale Graph Mining with Spark

Machine learning for Project Cognoma

Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2.0

Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna

Preparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities

Projects for Udacity's Machine Learning Engineer Nanodegree

This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".

Library to plot integer sets and maps

QA - Answer Selection (Rank candidate answers for a given question)

BUS 41204: Machine Learning

brief introduction to Python for machine learning

Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017

Slides, Assignments, Solutions

✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition