Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
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Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
A Go package for engineering organisms.
- synthetic-biology
- synbio
- genetic-engineering
- molecular-biology
Clinical Histopathology Imaging Evaluation Foundation Model
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Official release of the ProGen models
- language-model
- protein
- generative-model
Interactive network visualization in Python and Dash, powered by Cytoscape.js
- plotly-dash
- plotly
- dash
- cytoscape
Fast, sensitive and accurate integration of single-cell data with Harmony
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
DiffSharp: Differentiable Functional Programming
- machine-learning
- tensor
- dotnet
- autodiff
Vision-Language Pathology Foundation Model - Nature Medicine
- bioimage-analysis
- bioimage-informatics
- conch
- foundation-model
Dicoogle - Open Source PACS
- dicoogle
- dicom
- pacs
- medical-imaging
C library for reading virtual slide images
- pathology
- whole-slide-imaging
- c
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
- histopathology-images
- microscopy
- sliding-windows
- medical-image-analysis
Official repository for the ProteinGym benchmarks
- benchmark
- computational-biology
- protein
- protein-design
Tools for computational pathology
- machine-learning
- digital-pathology
- computational-pathology
- biomedical-image-processing
A dependency-free cross-platform swiss army knife for PDB files.
- python
- protein
- pdb
- bioinformatics
Parsers and algorithms for computational chemistry logfiles
- python
- computational-chemistry
- quantum-chemistry
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
- trajectory-optimization
- differential-dynamic-programming
- theano
- dynamics-models
Quantum Computer Library for Everyone
- quantum
- python
- quantum-computing
- quantum-algorithms
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
- dna
- language-model
- variant-effect-prediction
- genomics
A library designed to ease geographic coordinate format conversions, and determine sun/moon information in C#
- moon
- coordinates
- longitude
- latitude
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language
Collection of self-contained header-only libraries for C++17