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We find that roughly half of test-passing SWE-bench Verified PRs written by recent AI agents would not be merged into main by repo maintainers. A naive interpretation of benchmark scores may lead one to overestimate how useful agents are without more elicitation or human feedback.
Author: Lucy Liu Note: this blog post is a cross-post of a Quansight Labs blog post.
Go ahead and axolotl questions. Contribute to axolotl-ai-cloud/axolotl development by creating an account on GitHub.
User experience (UX) has always been an important focus for scikit-learn. As we know, UX encompasses many aspects, but here we will focus specifically on how easy it is for the user to understand scikit-learn models during development, especially while using tools like jupyter notebooks.
BIO: Virgil Chan is currently a Forward Deployed Engineer - Pre-Sales at Union.ai. Before that, he worked as a consultant in the San Francisco Bay Area, specialising in predictive data analytics and machine learning. Earlier, he studied mathematics before moving into data science.
Run DESeq2 differential expression analysis entirely in Python with PyDESeq2. Covers count matrices, normalization, statistical testing, LFC shrinkage, and visualization.
scikit-learn was honored to be selected to participate in Cohort 2 of the GitHub Secure Open Source Fund (OSF) Training Program. Cohort 1 took place earlier in 2025 with 19 projects, and Cohort 2 took place with 52 projects during June 2025.
This blog post has been submitted by Probabl, a sponsor of scikit-learn. The scikit-learn project values educational efforts that build and nurture a strong vibrant open-source community.
Historically, scikit-learn’s API has been divided into public and private. Public API is intended to be used by users, and private API is used internally in scikit-learn to develop new features and estimators.
We are excited to announce the launch of the scikit-learn user survey! Scikit-learn continues to evolve thanks to contributions from its diverse user community. As we plan for future releases, we want to ensure we are focusing on what matters most to you — our users.
We are delighted to announce that scikit-learn has been awarded a grant from the Chan Zuckerberg Initiative (CZI)’s Essential Open Source Software for Science (EOSS) program. This grant is funded by Wellcome Trust.
This week, Twitter upped their single-tweet character limit from 140 to 280, purportedly based on this interesting analysis of tweet lengths published on Twitter's engineering blog.
Jupyter notebooks provide a useful environment for interactive exploration of data. A common question I get, though, is how you can progress from this nonlinear, interactive, trial-and-error style of exploration to a more linear and reproducible analysis based on organized, packaged, and tested…
Last year I wrote a blog post examining trends in Seattle bicycling and how they relate to weather, daylight, day of the week, and other factors. Here I want to revisit the same data from a different perspective: rather than making assumptions in order to build models that might describe the data,…
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