hanskrupakar Goto Github PK

3d-unet-pytorch

An implementation of 3D U-Net CNN models for the task of voxel-wise semantic segmentation of 3D MR images for isolation of Low-Grade and High Grade Gliomas, the common types of brain tumour.

adda

android-studio-tutorial

This is a collection of all the apps I created in order to familiarise myself with the use of Android Studio to build android apps.

automated_hsv-based_segmentation_masks_generator

Generate images, bounding boxes and segmentation masks for bags sitting on shelves by using HSV ranges over retail catalogue images.

cnn-image-classification

This contains code for various curiosity-quenching models that were implemented because of wanting to understand the nature and behaviour of Neural Nets. Also are the models for AlexNet and ResNet architectures in TensorFlow.

coco-style-dataset-generator-gui

A simple GUI-based COCO-style JSON Polygon masks' annotation tool to facilitate quick and efficient crowd-sourced generation of annotation masks and bounding boxes. Optionally, one could choose to use a pretrained Mask RCNN model to come up with initial segmentations.

embedding-and-morphological-segmentation

This is part of a research project I am conducting on the effects of morphological segmentation on the embedding process using algorithms like Word2Vec.

english-tamil-mt

English Tamil MT is part of a project carried out for ADD (Acoustic Dialect Decoder). It implements Moses based SMT and Neural MT in TensorFlow.

fastestimator

Deep Learning Fast & Easy

graph-traversal-js

This repo consists of customized graph path traversal algorithms to display all ancestors of an input node and all possible descendants in a specific indented format. It is work done for a company and the JSON files in the project are removed. The algorithms are implemented in JavaScript.

ibsgd

java-spring-restful

These are few of the open APIs I implemented during my internship in Company XYZ.

local-minima-analysis

Analysis of divergence between the weight parameters of a CNN model over several local minima for various standard datasets like MNIST, CIFAR etc.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mri-tumor-segmentation-brats

object-contouring-tool

A Web App to label datasets for instance segmentation and dense object detection tasks.

precipitation-nowcasting

This project uses the Agrimet 15-min Precipitation dataset (2014-2017) to train an RNN prediction network for precipitation using 25 15-min timesteps as input and 6 hour cumulative precipitation as forecast output. The baseline RNN system is then supplemented with the NEXRAD RADAR Images dataset from which the 3-hour precipitation accumulations radar map for 2 years (644 days) and using a CNN-RNN hybrid multimodally tries to predict precipitation.

pytorch-hessian-eigenthings

Efficient PyTorch Hessian eigendecomposition using the Hessian-vector product and stochastic power iteration

rnn-in-numpy

This is a converging bottom up implementation of the Recurrent Neural Network architecture with 3 layers and a tanh activation function using only numpy in Python.

tensorflow-beginner

This repo consists of the very few models I built using Tensorflow that helped me learn the internal workings of TensorFlow, Google's Computation Tool.

vision

Datasets, Transforms and Models specific to Computer Vision