Statsmodels: statistical modeling and econometrics in Python
A unified framework for machine learning with time series
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
NeuralProphet: A simple forecasting package
Scalable and user friendly neural :brain: forecasting algorithms.
Symbolic Learning in Python and Julia
D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement [ICLR 2025 Spotlight]
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
A package for the sparse identification of nonlinear dynamical systems from data
Python AutoML for Trading Systems and Sports Betting
TensorLy: Tensor Learning in Python.
Fast and customizable framework for automatic ML model creation (AutoML)
A toolkit for time series machine learning and deep learning
BAyesian Model-Building Interface (Bambi) in Python.
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.
Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Open source local-first PR scanner that finds dead code, security bugs, secrets, quality regressions, and AI-code mistakes before merge. For first timers refer to https://duriantaco.github.io/skylos/repo-map/
An extension of XGBoost to probabilistic modelling
Verifiable handwriting synthesis for failure-driven multimodal training and regression.
Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.
Evaluator-neutral AI evaluation evidence, baseline regression gates, and JSON, JUnit, and SARIF reports for CI.
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
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.
EXAONE Tabular is a transformer-based foundation model for tabular data that solves classification and regression through in-context learning
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.
Configuration-driven evaluation, regression testing, replay, and load testing for SSE-streaming LLM agents
Argolink-focused LLM evaluation and regression workflow for GPT-6 Sol.
Revisiting Tabular Deep Regression Paper Code