zackriegman / pydnn
pydnn: deep neural network library in Python
☆15Updated 10 years ago
Alternatives and similar repositories for pydnn:
Users that are interested in pydnn are comparing it to the libraries listed below
- Recurrent Neural Networks with External Memory☆30Updated 9 years ago
- Install TensorFlow on AWS GPU-instance☆28Updated 8 years ago
- IPython notebook for training multilayer LSTM and RNN networks with pycaffe☆53Updated 9 years ago
- Torch7 bindings for cuda-convnet2 kernels!☆40Updated 8 years ago
- Deep Reinforcement Learning Agent☆19Updated 9 years ago
- Benchmarking different LSTM libraries☆24Updated 9 years ago
- LSTM Python library using Cython☆37Updated 10 years ago
- ☆25Updated 2 years ago
- Chainer implementation of Self-Normalizing Networks (SNN)☆25Updated 7 years ago
- This project collects the different accepted papers and their link to Arxiv or Gitxiv☆17Updated 8 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- Large scale matrix factorization on GPU☆19Updated 8 years ago
- Sequence to Sequence Learning Model☆14Updated 9 years ago
- miniplaces2 deep residual network in neon☆16Updated 9 years ago
- Work in progress. Read at your own risk.☆14Updated 9 years ago
- Recurrent Convolutional Memory Network (in progress)☆28Updated 8 years ago
- Deep Generative Stochastic Networks for Sequence Prediction☆8Updated 2 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- Code for Max-Margin Deep Generative Models☆12Updated 10 years ago
- Dynamic Capacity Networks using Tensorflow☆52Updated 8 years ago
- General experiments on Vanilla RNN and LSTM in Theano.☆16Updated 9 years ago
- itertools. But picklable.☆37Updated 9 years ago
- ☆35Updated 9 years ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Updated 8 years ago
- Load ccv networks in Torch7☆11Updated 9 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
- Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets☆28Updated 8 years ago
- Experimentation with Highway Networks & GradNets☆13Updated 9 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated last year
- ☆18Updated 8 years ago