Agustinus' very opiniated publication-ready plotting library
☆72Mar 4, 2026Updated 3 weeks 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆12May 8, 2023Updated 2 years ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Nov 7, 2022Updated 3 years ago
- A package for computing matrix exponentials and finite horizon Gramians☆11Jan 21, 2026Updated 2 months ago
- Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.☆22Jul 30, 2024Updated last year
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Aug 22, 2023Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 2 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Mar 21, 2023Updated 3 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Feb 25, 2023Updated 3 years ago
- LaTeX template for my PhD thesis at the University of Tuebingen☆14Feb 25, 2023Updated 3 years ago
- ☆14Feb 18, 2024Updated 2 years ago
- Marginal distributions and Markov kernels that play nice with each other for the purpose of Bayesian state estimation.☆18Oct 22, 2025Updated 5 months ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆13Dec 4, 2024Updated last year
- ☆10Jun 13, 2022Updated 3 years ago
- Physics-Enhanced Regression for Initial Value Problems☆20Feb 7, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference (Chang et al., AISTATS 2025)☆21Jan 27, 2026Updated 2 months ago
- A Zen approach to configuring your Python project☆16Feb 27, 2026Updated last month
- ☆11Apr 14, 2022Updated 3 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆39Dec 3, 2024Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆99Nov 11, 2025Updated 4 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Jul 20, 2024Updated last year
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Jun 24, 2023Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆26Jul 30, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆29Jul 8, 2024Updated last year
- ☆56Jul 21, 2025Updated 8 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆134Updated this week
- xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology☆26Feb 25, 2026Updated last month
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆36Jul 21, 2025Updated 8 months ago
- ☆38Jan 2, 2024Updated 2 years ago
- Squared Non-monotonic Probabilistic Circuits☆25Jan 16, 2025Updated last year
- ☆11Oct 16, 2023Updated 2 years ago
- Learning Dynamical Systems that Generalize Across Environments☆20Feb 10, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Last-layer Laplace approximation code examples☆82Oct 18, 2021Updated 4 years ago
- ☆12Jun 24, 2021Updated 4 years ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14May 4, 2023Updated 2 years ago
- ☆14May 30, 2024Updated last year
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Nov 30, 2022Updated 3 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆226Mar 29, 2024Updated last year
- Python project template/scaffold and best practices☆42Sep 6, 2025Updated 6 months ago