alexshtf/spectral_neuron_paper

A platform for structuring AI research and studying physics of AI

58 implementations of synthetic learning problems from Jürgen Schmidhuber's papers (1989-2025). Pure numpy, laptop-runnable, paper-comparison metrics per stub. Algorithmic-lineage companion to hinton-problems.

Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy

Deep Learning models applied to the analysis of VIS-NIR spectral data

Noah Research

Snippets and data from the blog of Nirpy Research

Open research reproduction cases: notes, runnable code, generated data, figures, and honest reproduction boundaries.

Scenic: A Jax Library for Computer Vision Research and Beyond

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠