Echo State Network C/C++/Python

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

TF rnn ops w/ MKL-DNN kernel

CPU and GPU implementations of some 2D RNN layers

Character level predictions of a Multi-layered Vanilla Recurrent Neural Network

Simple, Fast and Powerful RNN for textsum

RNN codes, which contain MLP, RNN, LSTM, BiLSTM

Creates a simple net and an rnn using Caffe2 cpp

LSTM Network from Scratch in C++

C++ and Python Library Files of MultiCharts

OpenCL RNN decryption

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

The goal of this project is to ensure collision-free navigation of a mobile robot. Therefore evolutionary algorithms are used to evolve the weights of an RNN. For this process, the neural networks that performed best in previous generations are used as parents for the next generation. The neural network itself receives as input the sensor data o…

Developed a Chatbot using Python that holds conversation about world news with a human user by applying Neural conversional model ( Seq2Seq ), which consists of 2 LSTM RNN model. The news data was collected from Reddit.com (r/worldnews). Libraries such as Torch , NumPy and Matplotlib were used.

Achilles Mila Deep Neural Network library provides an API to model, train and evaluate Recurrent Neural Networks. Mila utilizes the NVIDIA CUDA runtime and the CuDNN library for high-performance GPU acceleration.

MIOpen RNN Benchmark

Do NLP without coding! Simple NLP framework.

Real-time recurrent neural networks for audio plugins

Artificial neural networks coded in c++.