DevikalyanDas
I’m a graduate student in Visual Computing from the Universität des Saarlandes, Saarbrücken.
Pinned Repositories
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
Haze-Removal
Undergrad Final Year Project, Winter'16
npgs
[CVPR 2024] Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
NucleiSegnet-Paper-with-Code
Optimization-In-ML
Impact of Learning Rate, Optimizer, Learning Rate Scheduler and Batch Size on OOD generalization in Deep learning
Pokemon-Diffusion
This is a project for the course Deep Generative Diffusion Models where the goal is to implement an end-to-end diffusion model for generation of pokemon images
Semantic-Segmentation-of-pascal-voc-dataset-using-Pytorch
Semantic-Segmentation-Pytorch
Trip-to-Vrindavan
Rendering Competition at University of Saarland
WAEP-Wide-Activation-with-Enhanced-Perception-Super-Resolution-General-Adversarial-Networks
Performing Super Resolution of the low resolution images using a novel GAN based approach
DevikalyanDas's Repositories
DevikalyanDas/npgs
[CVPR 2024] Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
DevikalyanDas/Haze-Removal
Undergrad Final Year Project, Winter'16
DevikalyanDas/WAEP-Wide-Activation-with-Enhanced-Perception-Super-Resolution-General-Adversarial-Networks
Performing Super Resolution of the low resolution images using a novel GAN based approach
DevikalyanDas/NucleiSegnet-Paper-with-Code
DevikalyanDas/Pokemon-Diffusion
This is a project for the course Deep Generative Diffusion Models where the goal is to implement an end-to-end diffusion model for generation of pokemon images
DevikalyanDas/Semantic-Segmentation-Pytorch
DevikalyanDas/awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
DevikalyanDas/Optimization-In-ML
Impact of Learning Rate, Optimizer, Learning Rate Scheduler and Batch Size on OOD generalization in Deep learning
DevikalyanDas/Trip-to-Vrindavan
Rendering Competition at University of Saarland
DevikalyanDas/awesome-neural-rendering
A collection of resources on neural rendering.
DevikalyanDas/Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
DevikalyanDas/bvh
A modern C++ BVH construction and traversal library
DevikalyanDas/C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
DevikalyanDas/coding-interview-university
A complete computer science study plan to become a software engineer.
DevikalyanDas/DevikalyanDas
Config files for my GitHub profile.
DevikalyanDas/devikalyandas.github.io
DevikalyanDas/EG3D-pytorch
unofficial code of the paper "Efficient Geometry-aware 3D Generative Adversarial Networks"
DevikalyanDas/figure-gen
A Python package to effortlessly assemble images in comparison figures. Supports LaTeX, PPTX, and HTML.
DevikalyanDas/google-research
Google Research
DevikalyanDas/image-segmentation-using-gan
DevikalyanDas/ML-PROJECT
Projects done by me on Machine Learning using Python
DevikalyanDas/Monitoring-Traffic-Control
This is the project for course Data Science 2021 at Saarland University
DevikalyanDas/New-View-Synthesis
Collecting papers about new view synthesis
DevikalyanDas/Object-Recognition-Numpy
Object Recognition using different Histogram and distance functions
DevikalyanDas/PlotNeuralNet
Latex code for making neural networks diagrams
DevikalyanDas/Python
All Algorithms implemented in Python
DevikalyanDas/PyViz3D
PyViz3D is a web-based visualizer for 3D objects and point clouds.
DevikalyanDas/Semi-supervised-Image-Classification
This is the project on Semi-supervised image classification which we had performed on CIFAR-10 and CIFAR-100 dataset
DevikalyanDas/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
DevikalyanDas/ub4d
Code release for Unbiased 4D