csunlab / fisher-informationLinks
Code to calculate Fisher information
☆24Updated last year
Alternatives and similar repositories for fisher-information
Users that are interested in fisher-information are comparing it to the libraries listed below
Sorting:
- ☆31Updated 9 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- Perform bayesian distribution regression☆13Updated 7 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- The holdout randomization test: feature selection using black box predictive models☆21Updated 4 years ago
- Software for learning sparse Bayesian networks☆42Updated 4 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Generalized lasso implementations☆46Updated 10 months ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Learning with Partial Supervision☆10Updated last year
- Deepboost R-package for submission☆19Updated 7 years ago
- Code for AutoGP☆27Updated 6 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 5 years ago
- Jupyter Notebooks for Adv. Predictive Modeling Course☆15Updated 8 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 4 years ago
- Random effects neural networks with Edward and Keras☆14Updated 8 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆13Updated 7 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Introduction to PyTorch Workshop at the AMLD 2019☆31Updated 6 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- Edward content including papers, posters, and talks☆92Updated 4 years ago
- python code for kernel methods☆40Updated 6 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆69Updated 7 years ago
- Fast, principled L1-regularized loss minimization☆24Updated last year
- ☆30Updated 7 years ago
- This repository holds all course materials for the fall 2016 offering of Statistics 238 (Bayesian Statistics) at UC Berkeley.☆30Updated 8 years ago
- Bayesian or-of-and☆35Updated 3 years ago
- A multi-threaded C++ implementation of Nickel & Kiela's "Poincare Embeddings" paper from NIPS 2017, following the implementation of the a…☆17Updated 7 years ago