Statsmodels: statistical modeling and econometrics in Python
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Lightning ⚡️ fast forecasting with statistical and econometric models.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
App to easily query, script, and visualize data from every database, file, and API.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
Autonomous multi-agent framework to optimize scientific software
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🎮 Update your pinned gist to show HoYoverse gameplay stats
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