PGM-Lab / 2022-ProbAILinks
☆21Updated 3 years ago
Alternatives and similar repositories for 2022-ProbAI
Users that are interested in 2022-ProbAI are comparing it to the libraries listed below
Sorting:
- Tutorials and sampling algorithm comparisons☆79Updated this week
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆223Updated last year
- Bayesian Bandits☆68Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Structural Time Series in JAX☆210Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- ☆18Updated 2 years ago
- Neat Bayesian machine learning examples☆58Updated 2 weeks ago
- Code source of Learning Binary Trees by Argmin Differentiation.☆12Updated 2 years ago
- An introduction to functional programming for scalable statistical computing☆78Updated last year
- Jax SSM Library☆48Updated 3 years ago
- ☆192Updated 5 months ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Uncertainty quantification with PyTorch☆376Updated 2 months ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- An experimental language for causal reasoning☆243Updated last week
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- A course on imprecise probabilistic machine learning☆112Updated this week
- Deep Learning, an Energy Approach☆225Updated 6 months ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- ☆194Updated 2 years ago
- Normalizing Flows using JAX☆85Updated 2 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 7 months ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 3 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆311Updated 5 months ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago