rmcgibbo / logsumexpLinks
Fast SSE logsumexp for python/numpy
☆30Updated 10 years ago
Alternatives and similar repositories for logsumexp
Users that are interested in logsumexp are comparing it to the libraries listed below
Sorting:
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 6 years ago
- ABCpy package☆116Updated last year
- Pseudo-Marginal Slice Sampling☆19Updated 9 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Open Data Science☆33Updated last year
- ELFI - Engine for Likelihood-Free Inference☆278Updated 7 months ago
- Backpropagate derivatives through the Cholesky decomposition☆59Updated 5 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 6 years ago
- Likelihood-free inference toolbox.☆56Updated 8 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 3 years ago
- Code for AutoGP☆27Updated 6 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 7 years ago
- Library of common tools for machine learning research.☆41Updated 8 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆30Updated 5 years ago
- Notebook tutorials☆14Updated 2 years ago
- ☆19Updated 9 years ago
- LaTeX package for randomizing author order based on a public seed.☆40Updated 10 years ago
- Decorator for PyMC3☆50Updated 4 years ago
- A Python package for Approximate Bayesian Computation☆38Updated 9 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Randomized Dimension Reduction Library☆117Updated 4 years ago
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Collapsed Variational Bayes☆72Updated 6 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Jax-based MaxEnt☆17Updated 6 years ago