Interoperable web-based DICOM slide microscopy viewer and annotation tool
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LLM for Drug Editing, ICLR 2024
- chatgpt
- conversation
- drug
- drug-discovery
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
:spider_web: Compute interesting points, areas, and volumes in simplex meshes of any dimension.
- mathematics
- python
- pypi
- voronoi-diagram
A Swift port of the Cassowary linear constraint solver
- cassowary
- constraint-solver
- swift
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
- mathematical-modelling
- automatic-differentiation
- mathematics
- math
TranslatedAntifouling coating evidence panel: formulation sandbox, route biofouling stress, literature bounds. Simulation ≠ measurement. Live: https://simulator.jassyhong.top
- biofouling
- formulation
- antifouling
- evidence-panel
Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
- bioimage-analysis
- cell-classification
- computer-vision
- digital-pathology
A common lisp library that provides a numeric type with optional unit and/or uncertainty for computations with automatic error propagation.
📐✏️ Slides from my talk on Mathematics of Animation @ .concat() 2018
Coqtail is a library of mathematical theorems and tools proved inside the Coq proof assistant. Results range mostly from arithmetic to real and complex analysis. [maintainer=@jmadiot]
- coq
- complex-analysis
- real-analysis
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.