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A contract-driven gRPC regression harness for AI coding agents, with human-approved baselines. Snapshot the valid call chains of an API so an agent can look one up instead of tracing for it. gRPC today, OpenAPI next
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
This is the official mirror of the MonetDB Mercurial repository. Please note that we do not accept pull requests on github. The regression test results can be found on the MonetDB Testweb https://www.monetdb.org/testweb/web/status.php .For contributions please see: https://www.monetdb.org/documentation/dev-guide/
Canonical sources for HOL4 theorem-proving system. Branch develop is where “mainline development” occurs; when develop passes our regression tests, master is merged forward to catch up.
Regression range finder for Mozilla nightly builds
Regression Modeling Strategies
📷 Visual regression test tool.
✨ Jest matcher for image comparisons. Most commonly used for visual regression testing.
Regression Testing your SQL queries
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
Image comparison / visual regression testing for WebdriverIO
人工智能在石油测井上的应用包括采用机器学习，深度学习等相关方法进行岩性识别与相关测井曲线的回归。The application of artificial intelligence in well logging includes the use of machine learning, deep learning and other related methods for lithology identification and regression of related well logging data.
Distributed High-Performance Symbolic Regression in Julia
ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.
Perform visual regression test with a nice GUI as help. 💅
Library for text-to-text regression, applicable to any input string representation and allows pretraining and fine-tuning over multiple regression tasks.
A professional TF-IDF + Logistic Regression style-risk classifier for educational fake-news detection, with a Streamlit dashboard, honest evaluation, uncertainty handling, and leakage analysis.
A visual-regression studio for Expo / React Native UI components: deterministic examples generate Storybook stories and Chromatic baselines, one component tree renders on iOS, Android, and Web. Not a component library.
The open-source Playwright library for AI browser regression testing with intelligent caching, auto-healing, and multi-model verification.
Fixes prompt cache regression in Claude Code that causes up to 20x cost increase on resumed sessions
Official implementation of R^3: 3D Reconstruction via Relative Regression.
Trace-native CI/CD for AI agents — production failures become regression tests that block the PR. Auto-detect, cluster, freeze into hermetic cases, replay in CI for $0.
TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for tabular data regression and classification.
Agent Skills for browser fingerprint testing: run liarjs from Claude Code, Codex, Cursor or Copilot to score a browser against itself - 40 consistency checks over canvas, WebGL, WebGPU, audio, fonts and WebRTC, cross-checked against the TLS/HTTP layer. Playwright and Puppeteer harness QA, CI regression gates, headless detection triage.
Trace-native CI/CD for AI agents: grade production traces, cluster failures, freeze them into replayable regression tests, and block PRs that regress. Self-hostable.