josephsalmon / OrganizationFilesLinks
☆13Updated 7 months ago
Alternatives and similar repositories for OrganizationFiles
Users that are interested in OrganizationFiles are comparing it to the libraries listed below
Sorting:
- Making your benchmark of optimization algorithms simple and open☆267Updated last month
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Fast hyperparameter settings for non-smooth estimators:☆40Updated 2 years ago
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Updated 2 years ago
- ☆26Updated 7 months ago
- Proximal optimization in pure python☆118Updated 3 years ago
- A Python library for mathematical optimization☆141Updated 11 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆90Updated 6 months ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Generative Forests in Python☆35Updated 2 years ago
- ☆40Updated 6 years ago
- Python package to fetch data from the LIBSVM website.☆20Updated 4 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆12Updated 10 months ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆36Updated 4 years ago
- Notebooks from DS3 course on practical optimization☆15Updated 4 years ago
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆88Updated 3 weeks ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 7 months ago