Ml Library Python Packages

sk-autod

Auto-diagnose deep learning training pathologies: overfitting, unstable LR, exploding gradients, noisy training, and early stopping issues.

pytorch-dml

A production-ready library for Deep Mutual Learning and collaborative neural network training

crawl-relevance-layers

CRL Pure Python crawler The Semantic Web Crawler For AI & Security

humanml

HumanML is a human-centered machine learning library designed to simplify the machine learning workflow while providing professional results. The library automates data preprocessing, model selection, training, evaluation, and reporting, making machine learning accessible to all users.

torchresidual

Flexible residual connections for PyTorch with a clean API. Build complex skip connections using Record/Apply modules. 5 operations (add, concat, gated, highway, multiply), learnable alphas, automatic projection. Thread-safe for DataParallel/DDP. Fully typed and tested.

earcp

A Self-Regulating Coherence-Aware Ensemble Architecture for Sequential Decision Making/EARCP: Ensemble Auto-Régulé par Cohérence et Performance