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Top 233 recurrent-neural-networks open source projects

Ctcdecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.
Punctuator2
A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text
Eeglearn
A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.
Rnn Nlu
A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling
Tensorflow Lstm Regression
Sequence prediction using recurrent neural networks(LSTM) with TensorFlow
Tensorflow Char Rnn
Char-RNN implemented using TensorFlow.
Ctcwordbeamsearch
Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.
Zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
Komputation
Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
Returnn
The RWTH extensible training framework for universal recurrent neural networks
Rnnsharp
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
Recurrent Entity Networks
TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".
Lstm Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Da Rnn
📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)
RCNN MDP
Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
recurrent-defocus-deblurring-synth-dual-pixel
Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…
tiny-rnn
Lightweight C++11 library for building deep recurrent neural networks
seeing-without-looking
PyTorch implementation for Seeing without Looking: Contextual Rescoring of Object Detections for AP Mazimization
ai-visual-storytelling-seq2seq
Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html
rnn-from-scratch
A Recurrent Neural Network implemented from scratch (using only numpy) in Python.
nyyelp
predicting yelp review rating using recurrent neural networks
deeptrolldetector
Deep troll uses a deep learning model that identifies whether an audio contains the Gemidao troll (AAAWN OOOWN NHAAA AWWWWN AAAAAH).
Singing-Voice-Separation-RNN
Singing-Voice Separation From Monaural Recordings Using Deep Recurrent Neural Networks
entailment-neural-attention-lstm-tf
(arXiv:1509.06664) Reasoning about Entailment with Neural Attention.
STORN-keras
This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!
DeepSeparation
Keras Implementation and Experiments with Deep Recurrent Neural Networks for Source Separation
Conversational-AI-Chatbot-using-Practical-Seq2Seq
A simple open domain generative based chatbot based on Recurrent Neural Networks
imessage-chatbot
💬 Recurrent neural network -- generates messages in your style of speech! Trained on imessage data. Sqlite3, TensorFlow, Flask, Twilio SMS, AWS.
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