Compendium of free ML reading resources
Visual regression testing and accessibility testing
Verifiable handwriting synthesis for failure-driven multimodal training and regression.
Code and data records: Combining symbolic regression and turbulence physics to develop a compact inner-layer production-dissipation closure — Jiang & Rosic, Physics of Fluids 38, 095140 (2026), Featured Article. doi:10.1063/5.0347368
Evaluator-neutral AI evaluation evidence, baseline regression gates, and JSON, JUnit, and SARIF reports for CI.
AI-powered CLI for reviewing GitHub pull requests, detecting potential bugs, security risks, regressions, and missing tests, with structured Markdown reports for open-source maintainers.
A pretrained tabular foundation model for classification and regression by Nums AI Inc.
Pretrained text classifiers you can run and retrain on CPU
Official PyTorch implementation of HGPTrans: hierarchical graph-pooling Transolver for vehicle aerodynamic drag prediction (Cd regression) from STL meshes.
Release gate that catches "green build, healthy container, broken page" deploys: CSS audit, computed-style assertions, screenshot diff, and Docker candidate promotion with verified rollback.
EXAONE Tabular is a transformer-based foundation model for tabular data that solves classification and regression through in-context learning
DataPredict ML Library: 100+ Lua Models for Deep Learning and Reinforcement Learning 2026
7 Days to Die Trainer 2026: Survival Stats and Inventory Editor Guide
Automated Linear Regression Feature Selection and Model Trainer Toolkit 2026
Ultimate 7 Days To Die Survival Stats Editor & Item Modifier 2026
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Claude Code skill: a background Playwright browser for screenshots (desktop/tablet/mobile), frontend health checks, visual diffs, scripted UI flows and logged-in pages — in any project. | 讓 Claude Code 擁有背景瀏覽器:多尺寸截圖、前端健檢、視覺比對、操作流程與登入頁面,適用任何專案。
MATLAB library for large Bayesian VARs: samplers, shrinkage priors, stochastic volatility, marginal likelihoods and forecasting, with examples, tutorials and the replication packages from joshuachan.org.
千笔一文 Novel — 人 AI 共写的长篇网文创作台:条目化世界书 · 正则 must 契约(确定性复检,违规拦住锁定)· 三层审校(引证验真 + 投票)· 同人文外部导入可整批撤销 · 升级不动书稿 · BYOK 全本地 · MIT。A long-form fiction co-writing agent whose pipeline knows how to say no.
Tamper-resistant regression gate for AI coding-agent instructions—AGENTS.md, CLAUDE.md, Cursor, Copilot, Gemini, and more.
Design-fidelity QA for DeepSeek Harness: lend any text-only model an eye, then judge whether the implementation matches the mock. Ships the benchmark behind that judgement — four fixtures, 23 injected defects, and every raw model transcript. Retires itself when DeepSeek ships vision.
The visual layer of your agent harness. Renders React components and Three.js scenes from source, with structure and evidence behind every frame — so agents can see, verify, and fix what they built.
A collection of AI prompts for generating comprehensive manual test scenarios from software projects, covering features, edge cases, security, validation, and expected behavior.
SPSS Statistics Professional Suite - Windows-focused build with a clean first-run path and complete professional modules enabled.
Runtime behavior diffs for pull requests
Argolink-focused LLM evaluation and regression workflow for GPT-6 Sol.
CI for your coding-agent setup (CLAUDE.md, skills, hooks): pinned baselines, a canary on every Claude Code release, model and version matrix, context-cost drift, self-diagnosing reports, repair. Claude Code, Codex, Gemini.
Code-based video generation. An open-source video pipeline for AI coding agents: a real browser captures your real product, and your agent directs the video, rendered locally.
Machine learning from scratch with Python and NumPy. Explore 12 chapters covering regression, neural networks, trees, clustering, SVMs, and autodiff with mathematical derivations, interactive notebooks, gradient verification, and 59 automated tests. No scikit-learn or PyTorch.
IBM SPSS Statistics Pro for Windows — the complete professional build with every module enabled: statistical modeling, econometrics, and data analysis, no edition limits after install.
Revisiting Tabular Deep Regression Paper Code
Performance testing companion for React and React Native