Raktim Mondol 's repositories
ASAP-annotation
How to create mask from ASAP annotation (.xml file)
breast-cancer-sub-types
A new architecture of feature extraction method using omics data is proposed which improves classification in most of the classifiers.
annotated_deep_learning_paper_implementations
🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.
Artificial-Intelligence
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
Breast-Cancer-Machine-Learning-Prediction-System
Using Python Machine Learning Supervised and Unsupervised Learning Models on Jupyter Notebook
deep-learning-classification
Example of multiclass classification
DeepLearningCamelyon
DeepLearning - Camelyon16 dataset
deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
fast-nca
Fast implementation of the Neighborhood Component Analysis algorithm
GeneticAlgorithmForFeatureSelection
Search the best feature subset for you classification mode
hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
json_to_binary_mask
This code converts annotated json file to binary mask image
keras-adversarial-autoencoders
Experiments with Adversarial Autoencoders using Keras
keras-squeeze-excite-network
Implementation of Squeeze and Excitation Networks in Keras
keras-unet
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
libsdae-autoencoder-tensorflow
A simple Tensorflow based library for deep and/or denoising AutoEncoder.
load_images
Load images for classification and segmentation
loss-metrics
All loss function and metrics related to segmentation model in one repo.
models
Models and examples built with TensorFlow
MSIfromHE
predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer
patch-images
Patch Histopathology images
plot
various types of plot using cancer data
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
qupath
Here annotation related code using qupath is added.
Text_Classification
Text Classification Algorithms: A Survey
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
WSI-analysis
Python scripts for automatic Whole-Slide Image preprocessing.