djsutherland / skl-groups
scikit-learn addon to operate on set/"group"-based features
☆41Updated 8 years ago
Alternatives and similar repositories for skl-groups:
Users that are interested in skl-groups are comparing it to the libraries listed below
- Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.☆48Updated 7 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 10 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Repo for experiments on pyspark and sklearn☆79Updated 10 years ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- ☆25Updated 8 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- SmallK: very fast data clustering tools☆14Updated 5 years ago
- A Cython interface to FLANN☆25Updated 4 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆16Updated 10 months ago
- Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups☆9Updated 9 years ago
- Latent dirichlet allocation (LDA) for datamicroscopes☆40Updated 9 years ago
- a machine learning platform for teams☆19Updated 7 years ago
- Low-level primitives for collapsed Gibbs sampling in python and C++☆33Updated 10 months ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Scalable inference for Correlated Topic Models☆30Updated 9 years ago
- Extreme Learning Machine implementation in Python☆44Updated 10 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Dirichlet process mixture model (DPMM) for datamicroscopes☆12Updated 9 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated last year
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- brat rapid annotation tool (brat) - for all your textual annotation needs☆10Updated 7 years ago
- convert a lot of zeros and ones to fewer real numbers☆23Updated 10 years ago
- Nonparametric Active Sampling☆11Updated 6 years ago
- Weighted matrix factorization on the GPU with Theano and scikits.cuda☆12Updated 10 years ago
- ☆20Updated 7 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Variational Bayesian Mixture of Factor Analysers☆22Updated 10 years ago