AI Toolkit for Healthcare Imaging
- healthcare-imaging
- deep-learning
- medical-image-computing
- medical-image-processing
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AI Toolkit for Healthcare Imaging
POT : Python Optimal Transport
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Biological foundation modeling from molecular to genome scale
Brian is a free, open source simulator for spiking neural networks.
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
3D medical imaging reconstruction software
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Clinical Histopathology Imaging Evaluation Foundation Model
⚗ A package useful for chemistry written in Python
Module for statistical learning, with a particular emphasis on time-dependent modelling
Vision-Language Pathology Foundation Model - Nature Medicine
U-Net Brain Tumor Segmentation
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.
RNA Velocity generalized through dynamical modeling
A Python native dynamical system simulation framework in the block diagram paradigm.
Tools for computational pathology
An extension for Inkscape that makes it easier to draw optical diagrams.
Neural networks toolbox focused on medical image analysis
Solve automatic numerical differentiation problems in one or more variables.
Source code of the Theoretical Physics Reference online book
High performance computational platform in Python for the spectral Galerkin method