LiaAira/Taylor-Data
🌐 Taylor-Data: Large-Scale Neural Dynamics & Optimization Dataset (V4) Taylor-Data is a comprehensive, large-scale dataset containing 2 Billion parameter transitions and loss landscape interactions collected across diverse neural network architectures, optimization regimes, and multi-scale horizons. It is designed for training World Models of Neural Dynamics, Meta-Optimizers, Quasi-Newton Credit Assignment Networks, and Continual Learning Controllers. 📌 Overview &… See the full description on the dataset page: https://huggingface.co/datasets/LiaAira/Taylor-Data.
This repository is gated. The listing is public, but downloading a file means accepting the publisher’s terms at Hugging Face first — the links above take you there rather than around it.
