JonathanRaiman / cython_lstm
LSTM Python library using Cython
☆37Updated 10 years ago
Alternatives and similar repositories for cython_lstm:
Users that are interested in cython_lstm are comparing it to the libraries listed below
- various simple RNNs trained on synthetic grammars☆30Updated 9 years ago
- Experiments with Recurrent Neural Nets☆26Updated 10 years ago
- An implementation of a generalized version of the Long Short-Term Memory neural network architecture and algorithm, one of the most power…☆137Updated 6 years ago
- Collection of useful, re-used routines.☆45Updated 7 years ago
- Recurrent Neural Network for modeling sequential data implemented using Python and Theano.☆91Updated 9 years ago
- General experiments on Vanilla RNN and LSTM in Theano.☆16Updated 9 years ago
- Benchmarking different LSTM libraries☆24Updated 8 years ago
- ☆35Updated 9 years ago
- Fork of https://github.com/Lasagne/Lasagne☆63Updated 9 years ago
- IPython notebook for training multilayer LSTM and RNN networks with pycaffe☆53Updated 9 years ago
- Recurrent Neural Network language modeling toolkit☆38Updated 11 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 10 years ago
- ☆34Updated 8 years ago
- Universal library for deep reinforcement learning.☆38Updated 8 years ago
- Numpy and Theano bindings for Baidu's warp-ctc☆60Updated 7 years ago
- Deep Recurrent Neural Networks☆30Updated 8 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Updated 9 years ago
- CTC implementation in Theano.☆42Updated 8 years ago
- Language Modeling with Sum-Product Networks☆20Updated 10 years ago
- Code for the Neural GPU☆46Updated 8 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 8 years ago
- General Purpose Implementation of LSTM extended from OCROPUS to recognize any sequential data☆28Updated 10 years ago
- word2vec implementation for torch7☆54Updated 9 years ago
- Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM☆56Updated 9 years ago
- ☆88Updated 8 years ago
- LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)☆110Updated 8 years ago
- A rudimentary wrapper around the fast Maxwell kernels for GEMM and convolution operations provided by nervanagpu☆34Updated 9 years ago
- A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"☆51Updated 8 years ago
- itertools. But picklable.☆37Updated 9 years ago
- Recurrent Convolutional Memory Network (in progress)☆28Updated 8 years ago