bguedj / pyrotor
☆13Updated last year
Alternatives and similar repositories for pyrotor:
Users that are interested in pyrotor are comparing it to the libraries listed below
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- PAC-Bayes with Backprop - Tighter risk certificates for neural networks☆24Updated 3 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆77Updated last year
- Implementation of the PAC Bayesian GP learning method.☆10Updated 6 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- ☆53Updated 8 months ago
- ☆49Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Variational Reinforcement Learning☆16Updated 8 months ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- ☆43Updated 4 years ago
- ☆30Updated 2 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Simple and extensible hypergradient for PyTorch☆16Updated 2 years ago
- Hessian trace estimation using PyTorch and Hutch++☆19Updated 4 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆11Updated last year
- Inference on non-linear dynamical systems written in JAX☆11Updated 4 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Updated 3 years ago
- Probabilistic Solution of Differential Equations☆13Updated 2 years ago
- A toolbox for inference of mixture models☆16Updated last year
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- Public Release of Plan2vec Implementation in pyTorch☆56Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- **Sferes2 module** A unifying modular framework for Quality-Diversity algorithms☆22Updated 4 years ago