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Discover tools machine learning skills, compare source repositories and read the instructions for each workflow.

Categories: tools machine learning

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GitHub

td-svm

teradata-labs

Support Vector Machine for linear and non-linear classification

GitHub

td-glm

teradata-labs

Comprehensive Generalized Linear Model analytics for regression and classification

GitHub

paper-to-code

aryateja2106

Implement AI/ML research papers from scratch when no official code exists. Use when the user wants to reproduce a paper, implement an algorithm from a PDF, build a model architecture from a research paper, or c...

GitHub

fuzzy-augmentation-reject-inference

crossxwill

Build a Through-the-Door training set with reject inference using fuzzy augmentation, including PD-based sample weights; pairs with autogluon-tabularpredictor-fit for modeling the augmented data.

GitHub

custom-sklearn-estimator

crossxwill

Build scikit-learn compatible custom estimators by following the official “rolling your own estimator” rules for __init__, fit/predict, validation, learned attributes, tags, and estimator checks; prerequisite f...

GitHub

growth

eddiebe147

Growth engine for ID8Labs. Systematic experimentation and optimization to scale products through data-driven decisions, retention focus, and sustainable acquisition channels.

GitHub

causal-inference

plurigrid

Bengio's causal inference for AI: Interventional reasoning, counterfactuals, and System 2 deep learning. World models with causal structure.

GitHub

unison-acset

plurigrid

Unison language ACSet-structured skill with hierarchical documentation parsing, SPI trajectory recording, and 1069 skill predictions from zubuyul seed.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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