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Name: Rohit Gandikota

Type: User

Company: Northeastern University

Bio: Ph.D. AI @ Northeastern University. Understanding, mapping, and editing knowledge in large generative models. Ex-Scientist Indian Space Research Organization

Twitter: RohitGandikota

Location: Boston

Blog: https://rohitgandikota.github.io/

Rohit Gandikota's Projects

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Automatic Image Quality Analysis (AIQA) has become a very crucial module in remote sensing industry. With increasing competition and institutions that provide remote sensing images, the quality of images provided to the users has a huge impact.

bert-qa

This project shows the usage of hugging face framework to answer questions using a deep learning model for NLP called BERT. This work can be adopted and used in many application in NLP like smart assistant or chat-bot or smart information center.

building-chatserver-in-python-for-local-network

If you are using an intranet network and have no means to communicate, use this python code to make a server where clients in the same network can chat. This is a pet project of me and Samvram Sahu.

cdqn-detect

This project harnesses deep reinforcement learning to detect cars in aerial images

deep-reinforcement-learning-with-double-q-networks-on-atari-games

This project uses deep RL to train an agent that can play Atari game named Space Invaders.

deprecated-code

This repository contains our initial experiments to study code deprecation in codeLLMs

eigens

Importance of eigen directions in deep neural networks

erasing

Erasing Concepts from Diffusion Models

geomatching

Satellite data feature matching flow

hiding-audio-in-images

Generative Models to hide Audio inside Images using custom loss functions and Spectrogram Analysis

hiding-images-using-vae-genarative-adversarial-networks

Variational Autoencoder-Generative Adversarial Network (VAE-GAN) to hide data inside images

hiding-video-in-images-using-deep-generative-adversarial-networks

This is a preliminary attempt on hiding video data inside images using deep learning. We design a custom adversarial network with custom losses and additional discriminator. We call this multi-discriminator and multi-objective training framework.

image-detection

Recognition using Tensorflow

image-rotation-angle-detection-with-python

This code can be used for finding the angle that the image has been rotated by. Especially is tested on satellite data where geo-referencing rotates the image.

interpret-dqn

Understanding how DQN agents can play atari games like pingpong

land-use-land-cover-classification-of-satellite-images-using-deep-learning

This work discusses how high resolution satellite images are classified into various classes like cloud, vegetation, water and miscellaneous, using feed forward neural network. Open source python libraries like GDAL and keras were used in this work. This work is generic and can be used for satellite images of any resolution, but with MX band sensors.

machine-learning-techniques-for-satellite-image-masking-of-sensitive-areas

Satellite images are being extracted by Space organisations around the world. One of the objectives of the agencies is to mask out sensitive area for security reasons. For this purpose, there are certain predefined shapefiles in terms of Latitude and Longitude of earth. These shapefiles are to be used on the raw images that are not Geo-referenced and hence are ought to be handled in the co-ordinate axis (Scan-Pixels) . For this reason, a file that maps certain scan-pixels to latlons is provided so that one can project all the scanpixels to latlons and mask the area using shapefiles. This is specifically not opted as the product/satellite image has to dessiminated to users in the scan-pix. For this reason we propose machine learning techniques to accomplish this challenging task.

nlp-based-smart-search-for-satellite-data-ordering

Text-based and Voice-based search for satellite data ordering will massively improve user usability in terms of time spent and ease. This work focuses on satellite specific lingo and uses databases to search for data.

opencv

Open Source Computer Vision Library

progressive-diffusion

We explore the concept of progressive growth of network layers in denoising diffusion probabilistic models.

python-assignment

The goal of this assignment is to learn and practice sets, dictionaries and objects. This assignment has two parts, ﬁrst about dictionaries and sets and the second one about objects. Put all the required documents into a folder called a2_xxxxxx where you changed xxxxxx to your student number, zip that folder and submit it as explained in Lab 1. In particular, the folder should have the following three ﬁles: a5_part1_xxxxxx.py, a5_part2_xxxxxx.py and a5_part2_testing_xxxxxx.txt where you changed xxxxxx to your student number.

real-time-cloud-detection-of-satellite-images-during-acquisition

This project deals with the real time cloud detection of the ongoing acquisition data of satellite images. For this end, we use a simple and light MLP for classification of the image pixels. This work can classify the satellite images of size ranges till 64000 pixels width.

rohitgandikota Goto Github PK

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