336 Open source projects that are alternatives of or similar to STORN-keras

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

The RWTH extensible training framework for universal recurrent neural networks

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

RNN-based generative models for speech.

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

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

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

Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

Using LSTM network for time series forecasting

finance

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

🚀 A library designed to facilitate work with probability, statistics and stochastic calculus

Entirety.ai Intuition to Implementation Meetup Content.

Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on Computational Biology

Source code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"

Ordered Neurons LSTM

Bidirectional Helmholtz Machines

A Python-Tensorflow neural network for classifying cancer data

💬 Recurrent neural network -- generates messages in your style of speech! Trained on imessage data. Sqlite3, TensorFlow, Flask, Twilio SMS, AWS.

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).

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

📺 A Dashboard with the price movements of the selected Cryptocurrencies 💹

Convolutional AutoEncoder application on MRI images

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

A population based stochastic algorithm for finding the minimum value in a function.

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

Code for Reservoir computing (Echo state network)

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

Using a recurrent neural network in TensorFlow to predict national origin by last name.

Scripts for using on Binary.com Bots.

Network Intrusion Detection System using Deep Learning Techniques

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

Advanced file format fuzzer based-on deep neural language models.

Easy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Simulate stochastic timeseries that follow ARFIMA, ARMA, ARIMA, AR, etc. processes

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

Sequence Labeling in Tensorflow

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Deep Learning using Rectified Linear Units (ReLU)

Deep learning for freehand sketch object recognition

NMA deep learning course

Gathers Tensorflow deep learning models.

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

No description or website provided.

a deep recurrent model for exchangeable data

Official code for UnICORNN (ICML 2021)

Code for "Variational Neural Machine Translation" (EMNLP2016)

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution