gregversteeg / discrete_sieveLinks
The information sieve for discrete variables.
☆36Updated 8 years ago
Alternatives and similar repositories for discrete_sieve
Users that are interested in discrete_sieve are comparing it to the libraries listed below
Sorting:
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 4 months ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆25Updated 9 years ago
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- ☆36Updated 10 years ago
- ☆44Updated 10 years ago
- ☆58Updated 9 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 7 years ago
- Talk on "Bayesian optimisation", beginner level☆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 2 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 7 years ago
- Theano implementation of GloVe for graphs☆47Updated 10 years ago
- Scalable inference for Correlated Topic Models☆31Updated 10 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- A parallel IRWLS library to solve SVMs and budgeted SVMs☆59Updated 8 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- Bernoulli Embeddings for Text☆83Updated 7 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 9 years ago
- Convex Polytope Machine☆25Updated 10 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- Gated Recurrent Unit with Low-rank matrix factorization☆34Updated 9 years ago
- An autoencoder to calculate word embeddings as mentioned in Lebret/Collobert paper 2015☆74Updated 8 years ago
- A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970☆39Updated 10 years ago
- Large scale matrix factorization on GPU