Raktim Mondol 's Projects
š§ 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.
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How to create mask from ASAP annotation (.xml file)
Using the HC_11 module to communicate between 2 OUSB boards (atmega32). Written in Assembler.
A curated list of awesome deep learning applications in the field of computational biology
A curated list of awesome Machine Learning frameworks, libraries and software.
BioFusionNet is a highly effective framework for cancer risk prediction, demonstrating its superior performance using multimodal data.
Using Python Machine Learning Supervised and Unsupervised Learning Models on Jupyter Notebook
A new architecture of feature extraction method using omics data is proposed which improves classification in most of the classifiers.
TensorFlow Deep Learning neural network model for University of Wisconsin Cancer data
Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis
Deep Learning Tutorial notes and code. See the wiki for more info.
This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Example of multiclass classification
for the beginners
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
a deep learning-based framework for cancer classification
A list of deep learning implementations in biology
DeepLearning - Camelyon16 dataset
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Notebook, data and Dash app used in talk on visualisation libraries
Dimensionality Reduction
Fast implementation of the Neighborhood Component Analysis algorithm
Search the best feature subset for you classification mode
Deep learning based method called hist2RNA to predict the expression of genes using digital images of stained tissue samples
Ressources of histopathology datasets
These applications are code sample exercises using the Intel IoT Developer Kit, Intel Edison board or Intel IoT Gateway, sensors, actuators, cloud platforms, and APIs.
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization