https://github.com/anselmoo/csv_first_insight
A sklearn-based correlation- and prediction-maker for small *csv-data
https://github.com/anselmoo/numpy
The fundamental package for scientific computing with Python.
https://github.com/anselmoo/useful-optimizer
A dedicated set of optimization algorithms for numeric problems.
https://github.com/anselmoo/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
https://github.com/anselmoo/spectralmachine
Machine learning software for rapid analysis of scientific spectra.
https://github.com/anselmoo/spade-pytorch
PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"
https://github.com/anselmoo/mcp-server-analyzer
MCP server for Python code analysis with RUFF linting and VULTURE dead code detection
https://github.com/anselmoo/keras-tuner-extensionpack
An extension pack for keras-tuner for providing additional optimizers
https://github.com/anselmoo/capsnet-keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
https://github.com/anselmoo/cclib
Parsers and algorithms for computational chemistry logfiles
https://github.com/anselmoo/.trunk
Used by Trunk. Learn more at https://docs.trunk.io/check/github-integration
https://github.com/anselmoo/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
https://github.com/anselmoo/mcp-ai-agent-guidelines
A Model Context Protocol (MCP) server offering professional tools and templates for hierarchical prompting, code hygiene, visualization, memory optimization, and agile planning.