chiragbhuvaneshwara Goto Github PK

aipcvseminar

My Presentation Slides and Report from the Advances in Image Processing and Computer Vision Seminar undertaken in WS18/19

cifar10project

DNN, Simple CNN, Alex Net, VGG Net, GoogLe Net and Resnet trained on CIFAR10 dataset using PyTorch. An associated Web Application developed where an image can be uploaded and classified.

datanetworks

Assignments completed as part of DataNetworks course at Saarland University in WS18/19

dsp

Assignments and Projects completed as part of the Digital Signal Processing course at Saarland University in SS19

emotiondashboard

hlcv

Projects completed as part of the High Level Computer Vision course at Saarland University in SS19

interactive_neural_boxing

Project contains: 1. A trained neural model based on the mixture of experts concept to synthesise fast boxing actions 2. An interactive controller that visualises the results of user controlled motion synthesised with the neural model in Unity.

introtodatascience

Assignments, Projects and additional stuff from EdX course Introduction to Computational Thinking and Data Science

learning-to-see-in-the-dark

Pytorch Implementation of U Net, FPN, GAN using U-Net for correcting images taken in low light.

llmexps

Experiments with OPEN AI API and RAG. Will be updated with PAL, experiments with LLAMA3 etc

mlcysec

Projects completed while partaking Machine Learning in Cybersecurity course at Saarland University in WS18/19

moma-project

Image Compression using PCA implemented as a required project for Methods of Mathematical Analysis(MoMA) at Saarland University in WS17/18

multiturnneuralchatbot

In the modern world, a lot of textual data is generated on a daily basis. All of this data can be used to train a deep learning model to respond to queries posed. While many such concepts have already been implemented to respond to the current query, the way the networks are trained is not similar to how humans converse in the real world. In this project, we have developed a new network architecture that will ensure that the network answers the current query not only by considering the current query but also by considering certain important aspects of the previous parts of the conversations.

neuralnetworks

Assignments and projects associated with Neural Networks Implementation & Application Course in WS17/18 at Saarland University

python

Assignments, projects and additional stuff from the EdX course Intro to Computer Science using Python

resume

statisticalnaturallanguageprocessing

Assignments and Project completed as part of Statistical Natural Language Processing course at Saarland University in SS18

statswithr

Assignments completed as part of the Statistics with R course at Saarland University in WS18/19