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growingnn is a cutting-edge Python package that introduces a dynamic neural network architecture learning algorithm. This innovative approach allows the neural network to adapt its structure during training, optimizing both weights and architecture. Leveraging a Stochastic Gradient Descent-based optimizer and guided Monte Carlo tree search, the package provides a powerful tool for enhancing model performance. Now with PyTorch support for enhanced performance and GPU acceleration!

An Urdu quiz generator and learning tool.

AI IDE security hook: blocks directories, scans secrets, and protects AI interactions

Log every AI hiring decision with tamper-evident audit trails

Least-squares solvers for MLX with Apple MPS native extensions.

A simple python package example

Export source code and project files into AI-friendly text bundles with manifest

AI-powered fruit recognition and classification toolkit. https://aifruit.app/

Impact Automata on Quivers (AIQ) — An algebraic framework for modeling dynamics on complex systems

Convenience wrapper for exonware-xwmodels - provides 'import xwmodels' alias

Export trained ML models to ML-Dash

Async Python client for the UniFi Access API

Nearmap AI Python Library for extracting AI features from aerial imagery

Mathematical modeling tool for optimization problem

pyRDDLGym: RDDL automatic generation tool for OpenAI Gym

n8n nodes for Afip SDK integration.

Avid24 nodes for n8n

Anaplan node for n8n

JetBrains Youtrack integration for n8n

Stellar nodes for n8n