1772 Open source projects that are alternatives of or similar to Pytorch Kaldi

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

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

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

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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)

End-to-end ASR/LM implementation with PyTorch

Named Entity Recognition using multilayered bidirectional LSTM

Char-level RNN LSTM text generator📄.

End-to-End Automatic Speech Recognition on PyTorch

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Stock Price Prediction using Machine Learning Techniques

The official repository of the Eesen project

Kaldi-based Korean ASR (한국어 음성인식) open-source project

Haste: a fast, simple, and open RNN library

Anomaly detection for temporal data using LSTMs

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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

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.

A repo listing known open source voice tools, ordered by where they sit in the voice stack

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

CNN, LSTM, NBOW, fasttext 中文文本分类

Docker image and scripts for training finetuned or completely personal Kaldi speech models. Particularly for use with kaldi-active-grammar.

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

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

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

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

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.

Voice Activity Detection based on Deep Learning & TensorFlow

Chinese Poetry Generation

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

Google Summer of Code 2017 Project: Development of Speech Recognition Module for Red Hen Lab

A visualization tool for understanding and debugging RNNs

End to End Dialect Identification using Convolutional Neural Network

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

language model in Chinese，基于Pytorch官方文档实现

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

The first public PyTorch implementation of Attentive Recurrent Comparators

A Python package for gender classification.

A speech-to-text bot for discord with music commands and more using NodeJS. Ideally for controlling your Discord server using voice commands, can also be useful for hearing-impaired people.

MobilNet-SSD object detection in opencv 3.4.1

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

the open-source virtual assistant for Ubuntu based Linux distributions

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

Program to benchmark various speech recognition APIs

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

How to build RNNs and LSTMs from scratch with NumPy.

My Attempt(s) In The World Of ML/DL....