Heath-AFM-Lab/afMLevel-background-unet
https://huggingface.co/Heath-AFM-Lab/afMLevel-background-unetThis U‑Net model predicts tilt, z scanner drift, and other large‑scale imaging artifacts present in Atomic Force Microscopy (AFM) height maps. It outputs a background image, the same size and scale as the raw AFM image, which can be subtracted (via the accompanying afMLevel code) to produce a…
Sourced from
- HuggingFace — Heath-AFM-Lab/afMLevel-background-unet
Related resources
Heath-AFM-Lab/afMLevel-mask-unet
by Heath-AFM-LabThis U‑Net model masks features in Atomic Force Microscopy (AFM) height maps. It outputs a probability mask image, the same size as the raw AFM image; the accompanying python package, afMLevel code then applies a threshold (typically 0.5) to produce a binary mask.
Matrix-Corp/Vortex-13b-V1
by Matrix-CorpVortex Scientific is a from-scratch AI model family designed for deep scientific reasoning. Built from the ground up with a novel hybrid state-space + attention architecture, optimized for consumer laptop hardware (Apple Silicon MacBooks and Nvidia 4060 laptop GPUs).
ONNX export of the Cellpose cpsam (Cellpose-SAM) model for cell segmentation in microscopy images.
Deep learning library for Chemistry based on Tensorflow
15TB collection of 16 large-scale numerical simulation datasets spanning fluid dynamics, MHD, astrophysics, biological systems, and acoustic scattering, with unified PyTorch dataloaders and benchmarks for training foundation models on physical sciences (Polymathic AI, NeurIPS 2024)