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

PyTorch tutorial for learners

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

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

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.

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

ASR with PyTorch

Keras tutorial for beginners (using TF backend)

RMDL: Random Multimodel Deep Learning for Classification

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

A Python wrapper for Kaldi

The Official Deep Learning Framework for Route-based Place Recognition

Application of machine learning to the Coinbase (GDAX) orderbook

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

Deep Learning

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

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

Offline speech recognition for Android with Vosk library.

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

Open tools and data for cloudless automatic speech recognition

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

This is a list of features, scripts, blogs and resources for better using Kaldi ( http://kaldi-asr.org/ )

Word Embedding + LSTM + FC

Stock Price Prediction using Machine Learning Techniques

The official repository of the Eesen project

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

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.

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

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

Neural networks library for machine learning on PHP

End-to-end ASR/LM implementation with PyTorch

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

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

DELTA is a deep learning based natural language and speech processing platform.

SOVA ASR (Automatic Speech Recognition)

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

Some simple wrappers around kaldi-asr intended to make using kaldi's (online) decoders as convenient as possible.

Named Entity Recognition using multilayered bidirectional LSTM

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)

kaldi-asr/kaldi is the official location of the Kaldi project.

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

A Natural Language Toolkit for Indian Languages

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.

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

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Syn.Speech is a flexible speaker independent continuous speech recognition engine for Mono and .NET framework

Voice Activity Detection based on Deep Learning & TensorFlow

Image Captioning: Implementing the Neural Image Caption Generator with python

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

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

CNN, LSTM, NBOW, fasttext 中文文本分类

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

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

Char-level RNN LSTM text generator📄.

Проект для распознавания речи на русском языке на основе pykaldi.

mixlingual speech recognition system; hybrid (GMM+NNet) model; Kaldi + Keras

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

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