wiseodd / pub-ready-plotsLinks
Agustinus' very opiniated publication-ready plotting library
☆67Updated 2 months ago
Alternatives and similar repositories for pub-ready-plots
Users that are interested in pub-ready-plots are comparing it to the libraries listed below
Sorting:
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆129Updated last month
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 2 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆103Updated last year
- Uncertainty quantification with PyTorch☆362Updated 3 months ago
- IVON optimizer for neural networks based on variational learning.☆68Updated 8 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆111Updated 4 months ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Riemannian Optimization Using JAX☆49Updated last year
- Algorithms for computations on random manifolds made easier☆91Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- Normalizing Flows using JAX☆83Updated last year
- Sketched matrix decompositions for PyTorch☆70Updated last week
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month
- Likelihood-free AMortized Posterior Estimation with PyTorch☆130Updated 10 months ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 7 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 2 years ago
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆210Updated last year
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Compositional Linear Algebra☆478Updated last month
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆88Updated 4 months ago
- ☆152Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆66Updated last month
- ☆17Updated 10 months ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- Matrix-free linear algebra in JAX.☆126Updated last month
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆53Updated last year