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nschaetti/README.md

Nils Schaetti

Researcher in Machine Learning & AI from Switzerland.

I work at the intersection of dynamical systems, reservoir computing, self-supervised learning, and simulation-based inference.

I like AI that is mathematical, controllable, visual, open-source, and useful.

Current focus

Reservoir Computing · Echo State Networks · Self-Supervised Learning · JEPA · Physics-Informed ML · Neural Operators · SBI · Scientific Visualization

Coding projects

EchoTorch — Reservoir Computing with PyTorch
Pixel Prism — symbolic math and visual effects for education
cashwarrior — Manage your money in the terminal

Research projects

Migrate — Generative models and SBI applied to sismic inversion problems

BoardWorld — Structured games and languages GPT-like models for mechanical explainability

XWorlModels — Theoretical research on world models, based on Reservoir Computing and JEPA.

Other projects

Artificialis — YouTube channel - AI explained through code, math and critical thinking

Find me

Website · YouTube · @nschaetti

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  1. EchoTorch EchoTorch Public

    A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

    Python 502 117

  2. PixelPrism PixelPrism Public

    PixelPrism is a Python library that applies advanced visual effects to videos and images

    Python

  3. BoardWorld BoardWorld Public

    The simplest, fastest repository for training/finetuning GPTs on board games

    Jupyter Notebook 1

  4. cashwarrior cashwarrior Public

    A local-first, scriptable CLI tool for tracking personal expenses, transactions, budgets, and financial summaries from the terminal.

    Go