bstriner / dense_tensor
Dense Tensor Layer for Keras
☆9Updated 7 years ago
Alternatives and similar repositories for dense_tensor:
Users that are interested in dense_tensor are comparing it to the libraries listed below
- Monitoring library for Theano☆8Updated 7 years ago
- Deep Learning DTU summer school 2015☆22Updated 8 years ago
- various simple RNNs trained on synthetic grammars☆30Updated 9 years ago
- RNN Approaches to Integer Sequence Learning--the famous Kaggle competition☆27Updated 8 years ago
- ☆25Updated 8 years ago
- ☆29Updated 7 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 8 years ago
- a machine learning platform for teams☆19Updated 7 years ago
- Large scale matrix factorization on GPU☆19Updated 8 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 10 years ago
- Code for the arxiv paper☆9Updated 10 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Benchmarking different LSTM libraries☆24Updated 9 years ago
- Based on SciPy's normalized git stats, adapted for Deep Learning frameworks☆16Updated 8 years ago
- Deep Generative Stochastic Networks for Sequence Prediction☆8Updated 2 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
- ☆25Updated 2 years ago
- Code for the blog post on GAN stability☆10Updated 8 years ago
- simple python interface to SMAC.☆21Updated 6 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 8 years ago
- Topic analysis using RSM or PVDM.☆11Updated 10 years ago
- Yet another regression toolkit☆12Updated 11 years ago
- Keras solution to the bAbI tasks using recurrent neural networks - merged as an example into Keras mainline☆33Updated 9 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- Scalable inference for Correlated Topic Models☆30Updated 10 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 10 years ago
- TBEEF, a doubly ensemble framework for recommendation and prediction problems.☆20Updated 8 years ago
- Probabilistic Programming in Python. Uses Theano as a backend and includes the NUTS sampler.☆12Updated 7 years ago
- Scikit learn inspired library for gpu-accelerated machine learning☆38Updated 2 years ago