520 Open source projects that are alternatives of or similar to ms-convSTAR

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.

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

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Keras tutorial for beginners (using TF backend)

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

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

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

CNN, LSTM, NBOW, fasttext 中文文本分类

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

This is my graduation project in BIT. Title: Noise Reduction Using GRU.

RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano

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.

Char-level RNN LSTM text generator📄.

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

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Deep Learning

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Generate monophonic melodies with machine learning using a basic LSTM RNN

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

Word Embedding + LSTM + FC

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

Haste: a fast, simple, and open RNN library

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

bitcoin prediction algorithms

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Stock Price Prediction using Machine Learning Techniques

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

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

PyTorch tutorial for learners

Recurrent Additive Networks for Tensorflow

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

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

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.

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Satellite image processing pipeline to classify land-cover and land-use

Very simple API to download Landsat [1-5, 7, 8] data from Google

Remote Sensing for Movement Ecology

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

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

Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

language models toolkits with hierarchical softmax setting

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

2017 workshop content for http://wenfo.org/wald/advanced-remote-sensing

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

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

A Lightweight REST API to Access MICMAC Photogrammetry and SFM Engine.

rnn trained on r/totallynotrobots 🤖

ECE 535 - Course Project, Deep Learning Framework

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.

An R package providing tools to visualize movement data (e.g. from GPS tracking) and temporal changes of environmental data (e.g. from remote sensing) by creating video animations.

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

A siamese LSTM to detect sentence/question pairs.

After a hurricane, roads are often flooded or washed out, making them treacherous for motorists. Using state of the art deep learning methods, I attempted to automatically annotate flooded, washed out, or otherwise severely damaged roads. My goal is create a tool that can help detect and visualize anomalous roads in a simple user interface.

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Running compostionality tests on InferSent embedding on SNLI

biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images