ccanonne / probabilitydistributiontoolboxLinks
Folklore facts on probability distribution learning, testing, and whatever-ing
☆260Updated 3 months ago
Alternatives and similar repositories for probabilitydistributiontoolbox
Users that are interested in probabilitydistributiontoolbox are comparing it to the libraries listed below
Sorting:
- PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.☆88Updated 5 months ago
- Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".☆262Updated 2 years ago
- ☆19Updated 2 years ago
- ☆140Updated 2 weeks ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- A little Python script to collect LaTeX sources for upload to the arXiv.☆359Updated 10 months ago
- ☆168Updated 10 months ago
- Compositional Linear Algebra☆477Updated last month
- ☆24Updated last year
- some scripts for the couplings enthusiasts!☆32Updated 4 years ago
- Large-scale, multi-GPU capable, kernel solver☆189Updated 11 months ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Neural network verification in JAX☆144Updated last year
- About A collection of AWESOME things about information geometry Topics☆162Updated 11 months ago
- EE227C (Spring 2018) Course page☆224Updated 4 years ago
- Sketched matrix decompositions for PyTorch☆70Updated this week
- Materials of the Nordic Probabilistic AI School 2021.☆93Updated 3 years ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆606Updated this week
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 2 months ago
- LaTeX style file for the Journal of Machine Learning Research☆138Updated 11 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆450Updated 9 months ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆206Updated last year
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- Uncertainty quantification with PyTorch☆361Updated 2 months ago
- ☆229Updated 2 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆242Updated 4 years ago
- MATLAB implementation of the Scalable Semidefinite Programming☆26Updated last year