josephsalmon / OrganizationFilesLinks
☆13Updated this week
Alternatives and similar repositories for OrganizationFiles
Users that are interested in OrganizationFiles are comparing it to the libraries listed below
Sorting:
- Making your ML and optimization benchmarks simple and open☆289Updated last week
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆95Updated last week
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Updated 3 years ago
- Fast hyperparameter settings for non-smooth estimators:☆40Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆66Updated 6 years ago
- Python package to fetch data from the LIBSVM website.☆20Updated 9 months ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆96Updated 4 years ago
- ☆27Updated 3 weeks ago
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆98Updated this week
- ☆40Updated 6 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Updated 2 years ago
- Gaussian Processes for Sequential Data☆19Updated 5 years ago
- Proximal algorithms made easy in Python☆59Updated 9 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆63Updated last year
- El0ps: An Exact L0-Problem Solver☆13Updated last month
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆39Updated 4 years ago
- 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
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆43Updated 3 years ago
- Proximal optimization in pure python☆118Updated 3 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 4 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Benchopt benchmark for Lasso☆14Updated 6 months ago
- Generative Forests in Python☆35Updated 2 years ago
- Automated Scalable Bayesian Inference☆131Updated 4 years ago
- Large-scale, multi-GPU capable, kernel solver☆197Updated 6 months ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆17Updated 6 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago