ayrna / orcaLinks
Ordinal Regression and Classification Algorithms
☆116Updated 4 years ago
Alternatives and similar repositories for orca
Users that are interested in orca are comparing it to the libraries listed below
Sorting:
- An implementation of the Deep Neural Decision Forests in PyTorch☆165Updated 6 years ago
- Probabilistic Principal Component Analysis☆64Updated 8 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆217Updated 6 years ago
- A Python Multiple kernel learning library.☆57Updated 6 years ago
- Robust Principal Component Analysis via ADMM in Python☆107Updated 9 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Bayesian nonparametric machine learning for Python☆234Updated 2 years ago
- Deep Gaussian Processes in matlab☆93Updated 4 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆39Updated 3 years ago
- Randomized Dimension Reduction Library☆118Updated 4 years ago
- Relevance Vector Machine implementation using the scikit-learn API.☆237Updated 4 months ago
- Dirichlet Process K-means☆48Updated last year
- Deep Markov Models☆132Updated 6 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆188Updated 11 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 8 years ago
- Python library for working with kernel methods in machine learning☆121Updated 6 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual depen…☆80Updated 13 years ago
- A Python implementation of the Principal Component Pursuit algorithm from arXiv:0912.3599☆66Updated 5 years ago
- Group Lasso implementation following the scikit-learn API☆107Updated last year
- Mutual Information functions for C and MATLAB☆144Updated 7 years ago
- ☆74Updated 7 years ago
- Kernel structure discovery research code - likely to be unstable☆195Updated 10 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Bayesian optimization in high-dimensions via random embedding.☆116Updated 12 years ago
- A Python convex optimization package using proximal splitting methods☆119Updated 3 months ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Variational Inference in Gaussian Mixture Model☆61Updated 5 years ago