Recurrent Neural Networks

Lectures

Lecture materials and slides for the University of Oxford's 2017 advanced course on Deep Natural Language Processing.

Brain.jsTypeScript

GPU-accelerated neural network library for JavaScript, running in browsers and Node.js.

awesome-rnn: list of resources (GitHub Repo)

A curated list of resources dedicated to recurrent neural networks (RNNs) and deep learning.

NeuralTalkJupyter Notebook

Efficient image captioning code in Torch, using a CNN-RNN model to generate captions for images, optimized for GPU training.

Classification on raw time series in TensorFlow with a LSTM RNNJupyter Notebook

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

LSTM for Human Activity RecognitionJupyter Notebook

Human Activity Recognition using TensorFlow and LSTM RNNs on smartphone sensor data to classify six movement types.

captcha_breakJupyter Notebook

A deep learning project using Keras to build convolutional and recurrent neural networks for high-accuracy captcha recognition.

Sungjoon's TensorFlow-101Jupyter Notebook

A collection of beginner-friendly TensorFlow tutorials using Jupyter Notebook, covering deep learning fundamentals and practical applications.

Predict time seriesJupyter Notebook

A TensorFlow-based educational project for learning seq2seq RNNs through signal forecasting exercises.

rnnLua

A Recurrent Neural Network library for Torch7's nn, providing RNN, LSTM, GRU, and other sequence modeling modules.

RNNLIBC

A C++ recurrent neural network library for sequence learning problems, specializing in online handwriting prediction and synthesis.

Music generation using RNNs (Keras)Python

A Python project for algorithmic music generation using recurrent neural networks.

Generative Handwriting Demo using TensorFlowPython

Generates realistic handwriting using LSTM Mixture Density Networks implemented in TensorFlow.

RNNLGPython

An open-source benchmark toolkit for Natural Language Generation in spoken dialogue systems, featuring multiple RNN-based models and datasets.

qtraderJupyter Notebook

A reinforcement learning framework for portfolio management that learns optimal trading strategies through online training.

Keras and Lasagne Deep Learning TutorialsPython

A collection of deep learning tutorials and implementations using Keras and Lasagne, with a focus on Theano-based frameworks.

Attentive Object TrackingPython

A TensorFlow implementation of hierarchical attentive recurrent neural networks for single object tracking in videos.

Image Caption GeneratorJupyter Notebook

A TensorFlow-based neural network model for generating descriptive captions from images using Flickr30K and MSCOCO datasets.

DL4SSwift

A Swift library for accelerated tensor operations and dynamic neural networks with automatic differentiation, supporting all Apple platforms and Linux.

tlearn-rbC

A Ruby library for building and training recurrent neural networks using the TLearn simulator.

RNN-Passwords

A neural network-based password cracking tool using character-level RNNs to learn and generate password guesses.

neatGo

A Go implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm for evolving neural network structures.