ImperialCollegeLondon / csml-reading-groupLinks
Computational statistics and machine learning reading group at Imperial College London (2019-2020)
☆25Updated last week
Alternatives and similar repositories for csml-reading-group
Users that are interested in csml-reading-group are comparing it to the libraries listed below
Sorting:
- Efficient, lightweight variational inference and approximation bounds☆46Updated 3 months ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆39Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆44Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Tutorials and sampling algorithm comparisons☆79Updated this week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Bayesian Regression Models in Pyro☆74Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- ABCpy package☆117Updated last year
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated last year
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Gaussian process modelling in Python☆226Updated last year
- A generic interface for linear algebra backends☆76Updated 2 months ago
- ☆12Updated 3 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 5 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆96Updated 4 years ago
- Public dataset repository for the Causal Chamber Project☆55Updated 2 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆59Updated 4 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Updated last year
- Normalizing Flows using JAX☆86Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 4 years ago
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 2 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Unbiased Markov chain Monte Carlo with couplings☆30Updated 3 years ago