LiaAira/Taylor-Data
๐ 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. ๐ Overview &โฆ See the full description on the dataset page: https://huggingface.co/datasets/LiaAira/Taylor-Data.
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