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heliumdropletphasing

Toolbox for Droplet Coherent Diffraction Imaging data analysis

hellovirtualreality

Learn the basic of virtual reality (fr)

herculien

HercuLien - Large Format, Dual Extrusion, Bowden/Direct Drive Modular, 3D Printer. Inspired by many... Created by me.

hippocampus-segmentation-3d-image-analysis

This project is part of AI for healthcare Udacity Nano-degree program. Here, machine learning methods are applied on 3d medical images for hippocampus segmentation.

hippocampus_segmentation_mri

Udacity AI for Healthcare Nanodegree Project: Automated Segmentation of Hippocampus Structures from 3D MRI Volumes

hmrf-em

A MATLAB implementation of the HMRF as described in "Segmentation of Brain MR Images Through a Hidden Markov Random Field Model and the Expectation-Maximization Algorithm" (Zhang et al., 2001). The HMRF is used to segment images from the cross-sectional OASIS-brains dataset

hospital_android

The Hospital Management system app has been developed using Android Studio for Android devices. This android app tries to give an overall view of the different elements that can interact in a Hospital system.

hough

Linear Hough Transformation in C++

hough-line-transform

Canny implementation to detect edges and hough detector to find lines in the edged image

how-to-train-an-object-detector-using-tensorflow-api-on-ubuntu-16.04-gpu

This repo explains how to train an Object Detector for multiple objects using Tensorflow Object Detection API on Ubuntu 16.04 (GPU)

hrfae

Official implementation for paper High Resolution Face Age Editing

hub

Dataset format for AI. Build, manage, query & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

huffman-coding

Data compression with Huffman Coding (greedy algorithm) tried on EEG time series

huffman-coding-compression-algorithm

Huffman Coding for Images

huffman_coding_images

human-emotion-recognition-using-physiological-eeg-signal

B.Sc THESIS

illuminati

Developing a Android AI application which can help the users self diagnosis of ones disease and medical condition. The Various Sensors and other biometric devices can record users details regarding it's vital organs. Based on Artificial Intelligence and Machine Learning we would design a algorithm which could predict the disease of a person using the series of questions related to symptoms. After the Symptoms and recognition of disease the user will be suggested Generic Medicines for the same and nearest location to get that.

image-classification-using-transfer-learning

We used a pretrained network VGG16 as convolutional base and the output and then pass it through a fully connected dense layer then through a output layer with softmax activation function

image-compression

Image compression using Discrete Cosine Transform and Huffman Coding

image-processing

Brain Tumour Detection with Matlab and GUIDE (MATLAB GUI)

image-scene-graph-generation-using-ontology

Generated image scene graph using TensorFlow and Faster-RCNN and created our own data set for detecting suspicious activity in a parking lot.

image-steganography

In this project, steganography is done which is based on Block-DCT and Huffman coding, where DCT is used to transform original image (cover image) blocks from spatial domain to frequency domain and Huffman coding is done to convert messages into bits of 0’s and 1’s. Huffman encoding is performed on the secret messages before embedding and each bit of Huffman code of secret message is embedded in the frequency domain by altering the least significant bit of each of the DCT coefficients of cover image blocks. High level security is maintained since the secret message cannot be extracted without knowing decoding rules and Huffman table.

image-to-3d-reconstruct-stl

These are a set of programs to convert, 2D images to 3D stl files.

image_detection

This is my first ml based project and it is trained to recognize and different types of vehicles.

image_processing_algorithms

Image processing algorithm implementations. Includes Nearest-Neighbor, Bilinear, Bicubic Interpolation, Skeletonization, Hough Transform, Convolution and Sobel operators, Median Filter.

image_segmentation_using_opencv

Implement Watershed Algorithm using OpenCV for image segmentation.

imageclassification

The vehicle images have been classified based on the types / vehicle ids using machine learning models like network reduction , KNN models

imdb-dataset-sentiment-analysis-with-keras

Given a review on IMDB, we classify it as positive or negative. RNN layers (GRU and LSTM) as well as 1D ConvNets are used. Initially trained on Google Colab.

imdb-dataset-sentiment-analysis-with-lstm-and-transformer-model

imdb-sentiment-analysis

Sentiment analysis on IMDB movie reviews using Rnns and Lstms in Tensorflow