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

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

The RWTH extensible training framework for universal recurrent neural networks

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

This is now the official location of the Merlin project.

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

RNN benchmarks of pytorch, tensorflow and theano

This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!

Implementation of State-of-the-art Text Classification Models in Pytorch

Reinforcement Learning for Portfolio Management

End-to-End Speech Processing Toolkit

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

RMDL: Random Multimodel Deep Learning for Classification

an open-source implementation of sequence-to-sequence based speech processing engine

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

A course in reinforcement learning in the wild

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Anomaly detection implemented in Keras

Deep Reinforcement Learning based Trading Agent for Bitcoin

Named Entity Recognition using multilayered bidirectional LSTM

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

🔬 Nano size Theano LSTM module

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

Neural Machine Translation with Keras

Lightweight library to build and train neural networks in Theano

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

This is an open sourced book on deep learning.

AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

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).

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

A deep neural network for face alignment

Reimplementation of DRAW

VIP cheatsheets for Stanford's CS 230 Deep Learning

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

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

An implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing, code-switching, and voice cloning.

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Library to build speech synthesis systems designed for easy and fast prototyping.

Deep Reinforcement Learning for Keras.

Keras package for region-based convolutional neural networks (RCNNs)

Char-RNN implemented using TensorFlow.

A python wrapper for Speech Signal Processing Toolkit (SPTK).

Deep Reinforcement Learning library for humans

Voice Conversion Tool Kit

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

GPU-accelerated Deep Learning on Windows 10 native

Deep Convolutional Neural Networks for Musical Source Separation

A Generative Flow for Text-to-Speech via Monotonic Alignment Search