Pinned Repositories
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
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
IEEE-BigMM-Data-Challenge
This grand challenge involves creating multi-task multimodality frameworks aiming at predicting labels for a given tweet.
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.
Repo-2017
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Toxic-Comment-Classification-Challenge
Building a multi-headed model that’s capable of detecting di erent types of toxicity like threats, obscenity, insults, and identity-based hate better than Perspective’s current models .
MohisnFurkh's Repositories
MohisnFurkh/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
MohisnFurkh/awesome-deep-learning-papers
The most cited deep learning papers
MohisnFurkh/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.
MohisnFurkh/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.
MohisnFurkh/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
MohisnFurkh/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
MohisnFurkh/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
MohisnFurkh/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: jonnyning@foxmail.com, Zhenyuan Ning; or yuzhang@smu.edu.cn, Yu Zhang)
MohisnFurkh/BUS-Set
MohisnFurkh/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.
MohisnFurkh/cs-video-courses
List of Computer Science courses with video lectures.
MohisnFurkh/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
MohisnFurkh/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
MohisnFurkh/deep-xgboost-image-classifier
MohisnFurkh/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
MohisnFurkh/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.
MohisnFurkh/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.
MohisnFurkh/MedMNIST
18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification: try "pip install medmnist"!
MohisnFurkh/MICCAI-OpenSourcePapers
MICCAI 2020-2022 Open Source Papers
MohisnFurkh/MICCAI2022_paper_with_code
MICCAI 2022 Paper with Code
MohisnFurkh/MohisnFurkh
Config files for my GitHub profile.
MohisnFurkh/PlotNeuralNet
Latex code for making neural networks diagrams
MohisnFurkh/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
MohisnFurkh/Radiomics-Features-Extractor
Hand-crafted radiomics and deep learning-based radiomcis features extraction.
MohisnFurkh/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
MohisnFurkh/SIIM-ISIC-Melanoma-Classification-1st-Place-Solution
MohisnFurkh/tf-explain
Interpretability Methods for tf.keras models with Tensorflow 2.x
MohisnFurkh/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
MohisnFurkh/Webpage
MohisnFurkh/youtube
Contains Notebook for my youtube channel videos