raktim-mondol

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

ASAP-annotation

How to create mask from ASAP annotation (.xml file)

Atmega32_Serial_Over_RF_Using_HC_11

Using the HC_11 module to communicate between 2 OUSB boards (atmega32). Written in Assembler.

Autoencoders_dimensionality_reduction

breast-cancer-sub-types

A new architecture of feature extraction method using omics data is proposed which improves classification in most of the classifiers.

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

hist2RNA

Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples

Pyevolve

Pyevolve

qu-path

Contains code for annotation using QuPath

raktim-mondol/hist2RNA

Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples

raktim-mondol/ASAP-annotation

How to create mask from ASAP annotation (.xml file)

raktim-mondol/breast-cancer-sub-types

A new architecture of feature extraction method using omics data is proposed which improves classification in most of the classifiers.

raktim-mondol/qu-path

Contains code for annotation using QuPath

raktim-mondol/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.

raktim-mondol/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

raktim-mondol/Breast-Cancer-Machine-Learning-Prediction-System

Using Python Machine Learning Supervised and Unsupervised Learning Models on Jupyter Notebook

raktim-mondol/deep-learning-classification

Example of multiclass classification

raktim-mondol/DeepLearningCamelyon

DeepLearning - Camelyon16 dataset

raktim-mondol/deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

raktim-mondol/fast-nca

Fast implementation of the Neighborhood Component Analysis algorithm

raktim-mondol/GeneticAlgorithmForFeatureSelection

Search the best feature subset for you classification mode

raktim-mondol/hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

raktim-mondol/json_to_binary_mask

This code converts annotated json file to binary mask image

raktim-mondol/keras-adversarial-autoencoders

Experiments with Adversarial Autoencoders using Keras

raktim-mondol/keras-squeeze-excite-network

Implementation of Squeeze and Excitation Networks in Keras

raktim-mondol/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

raktim-mondol/libsdae-autoencoder-tensorflow

A simple Tensorflow based library for deep and/or denoising AutoEncoder.

raktim-mondol/load_images

Load images for classification and segmentation

raktim-mondol/loss-metrics

All loss function and metrics related to segmentation model in one repo.

raktim-mondol/models

Models and examples built with TensorFlow

raktim-mondol/MSIfromHE

predict microsatellite status from hematoxylin-eosin histology of gastrointestinal cancer

raktim-mondol/patch-images

Patch Histopathology images

raktim-mondol/plot

various types of plot using cancer data

raktim-mondol/python_for_microscopists

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

raktim-mondol/qupath

Here annotation related code using qupath is added.

raktim-mondol/Text_Classification

Text Classification Algorithms: A Survey

raktim-mondol/u-net

raktim-mondol/vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

raktim-mondol/WSI-analysis

Python scripts for automatic Whole-Slide Image preprocessing.