AI Toolkit for Healthcare Imaging
- healthcare-imaging
- deep-learning
- medical-image-computing
- medical-image-processing
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AI Toolkit for Healthcare Imaging
A Python implementation of global optimization with gaussian processes.
3D visualization and mesh analysis for science and engineering
Sverchok is Node-based visual programming for parametric 3D modeling and computational geometry in Blender
Medical imaging processing for AI applications.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
PyWavelets - Wavelet Transforms in Python
Optax is a gradient processing and optimization library for JAX.
Spectral simulation of analog photography processes
基于 AI Agent 工作流的修仙世界模拟器,旨在还原智能、开放的仙侠世界。| An open-source Cultivation World Simulator using Agentic Workflow to create a dynamic, emerging Xianxia world.
3D medical imaging reconstruction software
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Module for statistical learning, with a particular emphasis on time-dependent modelling
Molecular Processing Made Easy.
Tools for computational pathology
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
The open suite for process plants. Historian, analytics, alarms, dashboards, models and documents, built to work with AI.
Safe Bayesian Optimization
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.