653 Open source projects that are alternatives of or similar to Speech Recognition Neural Network

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

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

bitcoin prediction algorithms

Automatic trading bot (WIP)

A Keras library for multi-step time-series forecasting.

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

Application of machine learning to the Coinbase (GDAX) orderbook

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.

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

How to build RNNs and LSTMs from scratch with NumPy.

This repo provides projects on deep-learning mainly using Tensorflow 2.0

A curated list of dedicated resources and applications

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

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

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

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Anomaly detection for temporal data using LSTMs

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

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN

A simple open domain generative based chatbot based on Recurrent Neural Networks

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

Image Captioning: Implementing the Neural Image Caption Generator with python

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

PyTorch tutorial for learners

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

List of papers, code and experiments using deep learning for time series forecasting

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Generate monophonic melodies with machine learning using a basic LSTM RNN

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

ECG classification programs based on ML/DL methods

Chinese Speech To Text Using Wavenet

Embeddable custom voice assistant for Android applications

An overview of the AI-as-a-service landscape

ASR with PyTorch

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

Voice Activity Detection based on Deep Learning & TensorFlow

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

Implementation of Hierarchical Attention Networks in PyTorch

UIButton subclass with push to talk recording, speech recognition and Siri-style waveform view.

Learning the Enigma with Recurrent Neural Networks

A tool for automatic phoneme transcription

Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

A list of publically available audio data that anyone can download for ASR or other speech activities

An intent recognizing algorithm to predict the intent of a given text.

Tracking the progress in non-autoregressive generation (translation, transcription, etc.)

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Alan AI Power Apps SDK adds a voice assistant or chatbot to your Microsoft Power Apps project.

HoloBot is a reusable 3D interface that allows HoloLens & VR users to interact with any bot using Mixed Reality & Speech.

A Neural Networking library based on NumPy only

Speech commands recognition with PyTorch

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)

RETIRED - OpenSTT is now retired. If you would like more information on Mycroft AI's open source STT projects, please visit:

Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]

A bidirectional LSTM with attention for multiclass/multilabel text classification.