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Skills IA tools machine learning

Découvrez les skills tools machine learning, comparez leurs dépôts et consultez leurs instructions.

Catégories: tools machine learning

697–720 sur 1,317

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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.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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