bioinf-jku / librfnLinks
Rectified Factor Networks
☆38Updated 5 years ago
Alternatives and similar repositories for librfn
Users that are interested in librfn are comparing it to the libraries listed below
Sorting:
- A neural network library based on tensorflow and with true sklearn compatibility.☆11Updated 8 years ago
- Scalable inference for Correlated Topic Models☆30Updated 10 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆34Updated 9 years ago
- Tensor Switching Networks☆12Updated 7 years ago
- Benchmarking different LSTM libraries☆24Updated 9 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 8 years ago
- Low-rank Highway Networks☆13Updated 9 years ago
- Yet another regression toolkit☆12Updated 11 years ago
- ☆14Updated 9 years ago
- ☆25Updated 9 years ago
- ☆29Updated 7 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated last year
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- PyTorch bindings for openai-gemm☆20Updated 8 years ago
- Variational autoencoder in Theano☆12Updated 7 years ago
- Recurrent Convolutional Memory Network (in progress)☆28Updated 9 years ago
- miniplaces2 deep residual network in neon☆16Updated 9 years ago
- Gated Recurrent Unit with Low-rank matrix factorization☆34Updated 9 years ago
- A machine learning library focused on deep learning☆11Updated 10 years ago
- Survey of hyperparameter optimization use in NIPS2014☆12Updated 9 years ago
- Neural Network Models for Multi-label learning☆17Updated 4 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated last year
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Graph-based learning in Python☆17Updated 7 years ago
- ☆20Updated 7 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Install TensorFlow on AWS GPU-instance☆28Updated 8 years ago