tansey / functionalmfLinks
Functional matrix factorization via Bayesian tensor filtering
☆13Updated 2 years ago
Alternatives and similar repositories for functionalmf
Users that are interested in functionalmf are comparing it to the libraries listed below
Sorting:
- Network inference by fusing data from diverse distributions☆14Updated 8 years ago
- Implementation of Mapper Algorithm☆14Updated 8 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 7 years ago
- PyMC3-like Interface for Pyro☆37Updated 5 years ago
- Multithreaded elementwise algebra and random number generation☆8Updated last year
- Compute set of important operations for HCTSA code☆26Updated 5 years ago
- ☆10Updated 8 years ago
- Empirical Likelihood for Contextual Bandits☆12Updated 4 years ago
- Bayesian nonparametric models for python☆18Updated 6 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- This Python package implements algorithms for multiviews (multimodals) learning☆14Updated 9 months ago
- EBIC - AI-based parallel biclustering algorithm☆20Updated 6 years ago
- Distance computations with Dask (akin to scipy.spatial.distance)☆8Updated 7 years ago
- ☆21Updated 5 years ago
- Hierarchical Dirichlet Process (with Split-Merge Operations), originally by Chong Wang☆18Updated 11 years ago
- The Union of Intersections Framework in Python☆14Updated this week
- Simplifying parsing of large jsonline files in NLP Workflows☆12Updated 3 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Some scikit-learn-esque wrappers for statsmodels GLM☆23Updated 11 years ago
- A multi-algorithm Python framework for regularized regression☆13Updated last year
- The Path of the PyData Ninja☆16Updated 9 years ago
- Implementation of the Orthogonal Instantaneous Linear Mixing Model☆9Updated 2 years ago
- ☆14Updated last year
- Minimax Estimation of Conditional Moment Models☆30Updated 2 years ago
- algorithms for mass univariate regression☆12Updated 6 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- ADENINE: A Data ExploratioN PipelINE☆15Updated 6 years ago
- Learning with operator-valued kernels☆22Updated 2 years ago