Recurrent neural network implementation in Clojure based on https://karpathy.github.io/neuralnets/
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Updated
Aug 9, 2015 - Clojure
Recurrent neural network implementation in Clojure based on https://karpathy.github.io/neuralnets/
Deep Recurrent Neural Nets in Java
LSTM GRU with exact backpropagation derivation and implementation
Char RNN Language Model based on Tensorflow
Computer-generated poetry
Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.
Multi-layer Recurrent Neural Networks (LSTM, GRU) for character-level and word-level language models in Python using Tensorflow
Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.
RNN to select the best jet in a sequence
Event level classifier for the hh-->yybb analysis using multi-stream RNNs
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