jejjohnson / research_journalLinks
My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.
☆34Updated 3 years ago
Alternatives and similar repositories for research_journal
Users that are interested in research_journal are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 6 months ago
- A Python package for intrinsic dimension estimation☆95Updated 3 months ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- ☆60Updated 8 months ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆52Updated 6 years ago
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- Implementation of approximate free-energy minimization in PyTorch☆20Updated 4 years ago
- Normalizing Flows using JAX☆85Updated 2 years ago
- Roundtrip: density estimation with deep generative neural networks☆63Updated last year
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆39Updated 4 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆57Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Mutual information estimators and benchmark☆55Updated 3 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Algorithms for computations on random manifolds made easier☆94Updated 2 years ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- Probabilistic Auto-Encoder☆43Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆22Updated last year
- ☆18Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆39Updated 5 years ago
- A Machine Learning workflow for Slurm.☆151Updated 5 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago