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Clinical Histopathology Imaging Evaluation Foundation Model
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
This package provides tools for training supervised machine learning models for computational pathology tasks using tile-level embeddings.
Utility to convert between various subscription format
A self-paced course to learn Rust, one exercise at a time.
Train AI models efficiently on medical images using any framework
tutorial for writing custom pytorch cpp cuda kernel, applied on volume rendering (NeRF)
Lightning fast C /CUDA neural network framework
Bi-Directional Equivariant Long-Range DNA Sequence Modeling
Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems
[SIGGRAPH 2023] We provide a unified formula for neural fields (Factor Fields) and a novel dictionary factorization (Dictionary Fields)
3D Gaussian Splatting and Diffusion Guided Optimization
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
A vision-language foundation model for computational pathology - Nature Medicine
Towards a general-purpose foundation model for computational pathology - Nature Medicine
VMamba: Visual State Space Models,code is based on mamba
Conversion tool/library for converting whole slide images to DICOM
Smooth Loss Functions for Deep Top-k Classification