jennynanap Goto Github PK

fast.ai-learning

Fast.AI-Learning

grad_cam_plus_plus

A generalized gradient-based CNN visualization technique

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

jupyter_nbextensions_configurator

A jupyter notebook serverextension providing config interfaces for nbextensions.

keras-vis

Neural network visualization toolkit for keras

lime

Lime: Explaining the predictions of any machine learning classifier

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

medical-diagnosis

This medical diagnosis contains my personal works on image (disease) multi-class classification, image segmentation and evaluation on chest x-ray radiograph and brain MRI.

medical-prognosis

Medical Prognosis with AI help medical professionals to better manage the future outcome of their patients. In this repo, contain my projects assignments on prognosis of retinopathy using linear regression for binary classification. Also build a model to assess the survival ratio of patients. You will equally see how decision tree was used for disease prediction.

medical-treatment

In medicine, for an effective medical treatment, you need to understand the patient diagnostic results, which guilds you for efficient prognosis. In this series, you will understand the essential tools to consider when developing an AI model for medical treatment. This repo contains my assignments during the cause of training. I hope this will help you in your journey in AI application for Medicine. Other suggestions are welcome.

medsam

The official repository for MedSAM: Segment Anything in Medical Images.

mri-tumor-segmentation-brats

MRI medical image segmentation

newmodel

odsc2019-dl-models-nlp

materials for my workshop "Latest Deep Learning Models for NLP" @ the European Open Data Science Conference 2019

odsc2019-voila-jupyter-web-app

Source code, materials and notebooks for the workshop @ ODSC London 2019

paper-reading

深度学习经典、新论文逐段精读

pmc-llama

The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"

process_head_ct

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-pretrained-vit

Vision Transformer (ViT) in PyTorch

rl

sarcopenia-ai

Code for paper Kanavati, F. et al. (2020). Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment. arXiv preprint arXiv:2006.06432.

score-cam

[CVPR 2020 Workshop] Official implementation of Score-CAM in Pytorch

sleepeegnet

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-for-poets

TensorFlow For Poets

tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

tensorvision

A simple toolkit to easily apply image classification networks to your data.

tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.x