361 Open source projects that are alternatives of or similar to rnn_benchmarks

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

A course in reinforcement learning in the wild

Collection of iris classifcation program for teaching purpose

Deep Reinforcement Learning library for humans

A deep generative model library in Theano and Lasagne

Generating proportional fonts with deep learning

A deep neural network for face alignment

Theano implementation of XNOR-Net

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

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

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

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

DL course co-developed by YSDA, HSE and Skoltech

This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!

3-day dive into deep learning at csc

Setup and customize deep learning environment in seconds.

Documentation:

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.

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Convolutional AutoEncoder application on MRI images

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

RNN-based generative models for speech.

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

The RWTH extensible training framework for universal recurrent neural networks

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

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

Periodic Spatial Generative Adversarial Networks

NLP tutorial

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Thai Word Segmentation and Part-of-Speech Tagging with Deep Learning

Sentiment Analysis LSTM recurrent neural network's.

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

A light weight deep learning framework, on top of Theano, offering better balance between flexibility and abstraction

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.

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

TensorFlow Implementation of Twitter Chatbot

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

An end-to-end system that performs temporal recognition of gesture sequences using speech and skeletal input. The model combines three networks with a CTC output layer that recognises gestures from continuous stream.

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

How to use TensorLayer

Unofficial implementation algorithms of attention models on SNLI dataset

Chainer implementation of Deepmind's Visual Attention Model paper

MPI Parallel framework for training deep learning models built in Theano

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

Codes and Templates from the SuperDataScience Course

State of the Art Neural Networks for Deep Learning

Deep learning driven jazz generation using Keras & Theano!

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Text Classification by Convolutional Neural Network in Keras

Theano implementation of Sequence-to-Sequence Autoencoder

A Neural Network based Chatbot

Automatic trading bot (WIP)

Image Captions Generation with Spatial and Channel-wise Attention

Learning kernels to maximize the power of MMD tests

Theano reimplementation of pixelCNN architecture