RobinHCK

tensorflow

An Open Source Machine Learning Framework for Everyone

opencv

Open Source Computer Vision Library

tesseract

Tesseract Open Source OCR Engine (main repository)

TaskMatrix

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

lime

Lime: Explaining the predictions of any machine learning classifier

bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

Awesome-Bioinformatics

A curated list of awesome Bioinformatics libraries and software.

keras-io

Keras documentation, hosted live at keras.io

Awesome-Vision-Attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

CAM

Class Activation Mapping

textgrad

TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

CellProfiler

An open-source application for biological image analysis

biocode

Bioinformatics code libraries and scripts

DeepPATH

Classification of Lung cancer slide images using deep-learning

pathml

Tools for computational pathology

unet

U-Net Biomedical Image Segmentation

academic-keyword-occurrence

Extracts the historic word occurrence of a search term in academic papers

CircleNet

The official implementation of CircleNet, MICCAI 2020

ML_in_Biomed

Machine Learning in Healthcare and Biomedical Applications

CF-4-TSC

Hand-Crafted Convolutional Filters 4 Time Series

CircleSnake

CircleSnake paper

TRILITE

Self-supervised learning to boost time series classification models using a triplet loss mechanism.

tsc-pytorch

Time series classification using Deep Learning (Python)

Real-time-detection-for-renal-pathology

A Keras implementation of YOLOv3 (Tensorflow backend)

CRCNet

Breast-cancer-classification-methods-for-augmented-reality-microscopes

Comparison-of-deep-learning-architectures-for-colon-cancer-mutation-detection