Key Features

Released scientific checkpoints
HyPDE field forecasting
HyCell single-cell embeddings
HyFF force fields
Protein-model artifacts
Reproducible scripts
Model-specific technical reports
Python package examples

The collection organizes each released model with its own implementation, weights and technical documentation. HyPDE predicts future fields from simulated frames, HyCell generates cell embeddings and HyFF supplies machine-learning force fields for molecular dynamics.


Researchers can select an artifact relevant to their domain and reproduce its documented experiments. This collection groups the tools and models distributed through the linked repository while keeping their inputs, requirements and benchmarks documented separately.

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