This link will take you to a page that’s not on LinkedIn

✨ Highlights 🎉 New Contributors @vagechirkov made their first contribution in #1689 @satwiksps made their first contribution in #1695 @Dev-Sudarshan made their first contribution in #1697 @touronc...

A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...

Submitting author: @janfb (Jan Boelts) Repository: https://github.com/sbi-dev/sbi Branch with paper.md (empty if default branch): joss-submission-2024 Version: v0.24.0 Editor: @boisgera Reviewers: ...

Nature Biotechnology - Openness guides discovery

We seek to understand if there is interest in being able to attend NeurIPS in Europe, i.e. without travelling to San Diego, US. In the following, assume that it is possible to present accepted papers ...

A deep-learning library for denoising images using Noise2Void and friends (CARE, PN2V, HDN etc.), with a focus on user-experience and documentation.) - CAREamics/careamics

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has ...

Lesson Title Introduction to deep learning Lesson Repository URL https://github.com/carpentries-incubator/deep-learning-intro Lesson Website URL https://carpentries-incubator.github.io/deep-learnin...

Minimalist ML framework for Rust. Contribute to huggingface/candle development by creating an account on GitHub.

Implemenation of PQMass from Lemos et al. 2024. Contribute to Ciela-Institute/PQM development by creating an account on GitHub.

Scientists and engineers use simulators to model empirically observed phenomena. However, tuning the parameters of a simulator to ensure its outputs match observed data presents a significant challeng...