mohisnfurkh Goto Github PK

attention-enriched-deep-learning-model-for-breast-tumor-segmentation

Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

breast-lesion-classification

About The ‘Breast-Lesion-Classification’ aims to provide BUS classification-related codes for further studies. ALL of them are used just for research, but not for commerce. And the web is updating consistently. If you have any questions, do not hesitate to contact us! (E-mail: [email protected], Zhenyuan Ning; or [email protected], Yu Zhang)

bus-set

bus_seg

Breast mass segmentation in US with deep learning

chatgpt-prompts-for-academic-writing

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

collageradiomics

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

cs-video-courses

List of Computer Science courses with video lectures.

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-neuro-fuzzy

deep-xgboost-image-classifier

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

email-spam-classification

Spam classifier program in python which can tell whether a given message is spam or not. We have used K Nearest Neighnour ML algorithm for this classification. For message embedding we have used zeugma.embeddings library of python.

gethubrepo

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ieee-bigmm-data-challenge

This grand challenge involves creating multi-task multimodality frameworks aiming at predicting labels for a given tweet.

keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

medmnist

18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification: try "pip install medmnist"!

miccai-opensourcepapers

MICCAI 2020-2022 Open Source Papers

miccai2022_paper_with_code

MICCAI 2022 Paper with Code

mohisnfurkh

Config files for my GitHub profile.

mohsinfurkh.github.io

pima-indians-diabetes-database

This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.

plotneuralnet

Latex code for making neural networks diagrams

portfolio

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1