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Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Precision Medicine Knowledge Graph (PrimeKG)
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Reference mapping for single-cell genomics
scPerturb: A resource and a python/R tool for single-cell perturbation data
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
🏃 The go-to single-cell Foundation Model
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network