davmre / treegpLinks
Gaussian Process Regression for Python/Numpy
☆14Updated 9 years ago
Alternatives and similar repositories for treegp
Users that are interested in treegp are comparing it to the libraries listed below
Sorting:
- Yet another regression toolkit☆12Updated 11 years ago
- Topic analysis using RSM or PVDM.☆11Updated 10 years ago
- ☆10Updated 10 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 11 years ago
- ☆25Updated 9 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆34Updated 9 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Online machine learning algorithms (based on OLL C++ library)☆22Updated 8 years ago
- Based on SciPy's normalized git stats, adapted for Deep Learning frameworks☆16Updated 8 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Visual Question Answering system's different implementations☆10Updated 8 years ago
- Scalable inference for Correlated Topic Models☆30Updated 10 years ago
- Convenient hyperparameter optimization☆14Updated last year
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- A neural network library based on tensorflow and with true sklearn compatibility.☆11Updated 8 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- Utilities for nolearn.lasagne☆21Updated 8 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Exponential Machines implementation☆41Updated 4 months ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- ☆29Updated 7 years ago
- Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.☆48Updated 8 years ago
- Large scale matrix factorization on GPU☆19Updated 9 years ago
- Gated Recurrent Unit with Low-rank matrix factorization☆34Updated 9 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated last month
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Tensorflow Implementation of Multi-Function Recurrent Unit☆23Updated 9 years ago