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char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

crcn

Coherence + Recurrent Neural Network + Convolutional Neural Network

crfsharp

CRFSharp is Conditional Random Fields implemented by .NET(C#), a machine learning algorithm for learning from labeled sequences of examples.

cs228-material

Teaching materials for the probabilistic graphical models class at Stanford

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

data-science-works

decouplednet

DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation

deeplearning4nlp-tutorial

Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)

deeplearningbenchmarks

imdb-lstm-tutorial

In this tutorial I use an LSTM and Keras/Theano to predict sentiment on the IMDB dataset.

imdb_experiments

IMDB dataset processing (Stanford Maas ACL 2011 paper dataset), LSTM experiments in keras.

is13

RNN for Spoken Language Understanding

kaggle-rain

Winning solution to the Kaggle competition - How Much Did It Rain? II

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

ladder-1

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

ladder_network

Implementation of "Ladder Network" using Blocks and Theano.

lstm---stock-prediction

A long term short term memory recurrent neural network to predict stock data time series

mkdocs

Project documentation with Markdown.

mosesdecoder

Moses, the machine translation system

mythesis

Khóa luận cao học

ner-lstm

Named Entity Recognition using LSTM

neural-networks-demystified

Supporting code for short YouTube series Neural Networks Demystified.

randomfun

Notebooks and various random fun

rnn-tutorial-gru-lstm

Language Model GRU with Python and Theano

rnnsharp

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling. It's written by C# language and based on .NET framework 4.6 or above version. RNNSharp supports many different types of RNNs, such as BPTT and LSTM RNN, forward and bi-directional RNNs, and RNN-CRF.

scikit-learn

scikit-learn: machine learning in Python

seya

Bringing up some extra Cosmo to Keras.

stack-lstm-ner

NER system based on stack LSTMs

stocks_rnn

Stock price prediction with LSTMs in TensorFlow