FAST-Pathology
Digital pathology engine
An open-source software framework for deep learning-based digital pathology
⚡ Open-source software for deep learning-based digital pathology
123 stars
5 watching
27 forks
Language: C++
last commit: 6 months ago
Linked from 1 awesome list
computational-pathologyconvolutional-neural-networkscplusplusdeep-learningdeploymentdigital-pathologyfastpathologyfree-to-useinferencemachine-learningopenclopenglopenvinopytorchsoftwaretensorflowtensorrt
hallvaaw/awesome-biological-image-analysisRelated projects:
| Repository | Description | Stars |
|---|---|---|
 dana-farber-aios/pathml | A toolkit for computational pathology that provides tools and frameworks for analyzing biomedical images and data | 398 |
 coreylowman/dfdx | A deep learning library for Rust with GPU acceleration and ergonomic API. | 1,754 |
 ai-techsystems/deepc | A vendor-independent deep learning library and framework for small form-factor devices. | 568 |
 priyavrat-misra/xrays-and-gradcam | This project uses deep learning to analyze chest radiographs and diagnose COVID-19. | 50 |
 gwgundersen/dpcca | Develops a method to learn shared latent structure between biomedical images and gene expression data | 25 |
 bioinformatics-ua/dicoogle | A platform for managing medical image data and metadata. | 450 |
 perone/medicaltorch | A framework for building deep learning models on medical imaging data | 855 |
 hpcgarage/accelerated_dl_pytorch | This repository provides tutorials and demo code for accelerated deep learning with PyTorch using Jupyter Notebook. | 127 |
 aryn-ai/sycamore | An open source platform that processes unstructured data using AI and machine learning, allowing for efficient data extraction, enrichment, and loading into databases. | 401 |
 modern-fortran/neural-fortran | A parallel framework for building neural networks in Fortran | 411 |
 millionintegrals/vel | A collection of modular deep learning components that can be easily configured and reused in various applications. | 276 |
 eduardoleao052/js-pytorch | A JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers. | 1,093 |
 jpcertcc/malconfscan | Tools to extract configuration data from known malware samples in memory images. | 483 |
 amd/opencl-caffe | An OpenCL implementation of Caffe, a mainstream DNN framework. | 518 |
 doonny/pipecnn | A tool for accelerating convolutional neural networks on Field-Programmable Gate Arrays (FPGAs) using OpenCL-based hardware design | 1,264 |