463 Open source projects that are alternatives of or similar to Parrot

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Reinforcement Learning for Portfolio Management

Quantize weights and activations in Recurrent Neural Networks.

PyTorch Implementation of Google Brain's WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

Neural machine translator for English2German translation.

Speech synthesis running on ESP32 based on Flite engine.

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

MelGAN implementation with Multi-Band and Full Band supports...

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

Deep-Learning Model Exploration and Development for NLP

Quasi-recurrent Neural Networks for Keras

Gathers Tensorflow deep learning models.

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Keras Temporal Convolutional Network.

Thorsten-Voice: A free to use, offline working, high quality german TTS voice should be available for every project without any license struggling.

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

An opensource text-to-speech (TTS) voice building tool

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

AdaSpeech: Adaptive Text to Speech for Custom Voice

Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

Application of machine learning to the Coinbase (GDAX) orderbook

A deep neural network for face alignment

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Open Source Photometric classification https://supernnova.readthedocs.io

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

Convolutional AutoEncoder application on MRI images

A Natural Language Toolkit for Indian Languages

Reimplementation of DRAW

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

NLP-preprocessor for the SOVA-TTS project

Recurrent Neural Network using randomized SMILES strings to generate molecules

Lightweight C++11 library for building deep recurrent neural networks

Machine Reading Comprehension in Tensorflow

Code for Reservoir computing (Echo state network)

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks

VIP cheatsheets for Stanford's CS 230 Deep Learning

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

Deep learning for price movement prediction using high frequency limit order data

Examples on how to use Tinkoff Voicekit

name entity recognition with recurrent neural network(RNN) in tensorflow

HF's ML for Audio study group

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

eSpeak NG is an open source speech synthesizer that supports 101 languages and accents.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Network Intrusion Detection System using Deep Learning Techniques

The Implementation of FastSpeech based on pytorch.

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Flowtron is an auto-regressive flow-based generative network for text to speech synthesis with control over speech variation and style transfer

Translations with speech synthesis in your terminal as a ruby gem

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Simple and comprehensive tutorials in TensorFlow