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augmentor

Image augmentation library in Python for machine learning.

axisbankaichallenge

This Repository contains code for verification of signature

bangla-sign-language

This repository contains datasets for Bangla Sign Language characters and digits collected from different institutes near Dhaka, Bangladesh.

bdnet

brain-tumor-segmentation

Brain Tumor Segmentation done using U-Net Architecture.

cats-vs-dogs-cnn-using-keras-

The training set consisted of 25,000 images out of which 5,000 images were taken out as validation data. Separate test data folder consisted of 12,500 images for which the labels were predicted using trained model. My work includes preprocessing for model, Data augmentation to prevent overfitting, callbacks in keras to reduce learning rate timely, various CNN architecture trials with different layers and hyperparameters for best fit and learning curve wrt epochs. I gained a validation accuracy of 87.15 % without using any pretrained imagenet models . VGG-16 gave around 89 % as validation accuracy.

character_segmentation

A detailed Research project on Character-Segmentation using Neural Networks!

datasciencecoursera

datasharing

The Leek group guide to data sharing

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

dl-colab-notebooks

Try out deep learning models online on Google Colab

dlvcnptel

Tutorials for DLVC NPTEL MOOC

dogs_and_cats_cnn

Classification of Dogs vs Cats dataset using CNN - Keras with TensorFlow backend

dss

coursera-johns-hopkins-data science Revised

hands-on-one-shot-learning

This repository is for coding exercises listed in Book Hands on One Shot Learning.

indian-sign-language-recognition

This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.

keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented 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

max-image-segmenter

Identify objects in an image, additionally assigning each pixel of the image to a particular object

one-shot-learning-demo

One-Shot Learning Demo for Fresh Machine Learning #1

one-shot-learning-with-siamese-networks

Implementation of One Shot Learning using Convolutional Siamese Networks on Omniglot Dataset

own_data_cnn_implementation_keras

A complete tutorial on using own dataset to train a CNN from scratch in Keras (TF & Theano Backend)-

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

r_programming

This is a repository for any and all code written for the R Programming Coursera course through Johns Hopkins University.

retina-vesselnet

A DenseBlock-Unet for Retinal Blood Vessel Segmentation

retinopathy-dataset

A curated version of the dataset used while developing the diabetic-retinopathy-screening project.

siamese-networks

Few Shot Learning by Siamese Networks, using Keras.

siamese-networks-for-one-shot-learning

Implementation of Siamese Neural Networks for One-shot Image Recognition

siamese-neural-networks-for-one-shot-image-recognition

One Shot Learning Implementation

signature-verification