Spider Man (superdianuj)

superdianuj

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Spider Man's repositories

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improved_SuGaR

Improvement of SuGaR results via focus on preprocessing of images from Super Resolution and Deblurring perspective

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SUPIR

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild

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3DLineDetection

A simple and efficient 3D line detection algorithm for large scale unorganized point cloud

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gaussian_splatting_torch

Unofficial implementation of 3D Gaussian Splatting in PyTorch + CUDA with MIT license

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neuralangelo_bulldozer

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

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multlevel_hashencoding

Small Contemplations of Effect of Multiresolution Hash Encoding from paper "Neuralangelo"

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siren_exps

Experiments over SIREN from "Implicit Neural Representations with Periodic Activation Functions"

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Savant

Python Computer Vision & Video Analytics Framework With Batteries Included

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simple_nerf

Simple NeRF implementation exploration from the paper "NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis"

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cv-j

Print-friendly, minimalist CV page

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Portfolio_j

My self coded personal website build with React.js

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SMILES_classification

SMILES string classification via transformer architecture vs finetuning of ChemBERTa

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experiment_over_unet

Applying image processing transforms over input 2D MRI slices to observe performance of UNet

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tumor_classification_segmentation

MRI brain tumor classification and segmentation via ViT and U-Net respectively

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MRI_condensation

Dataset Condensation Via Distribution Matching of MRI dataset

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Graph_Image_Segment_Implementations

Python implementations of "Efficient Graph-Based Image Segmentation" paper written by P. Felzenszwalb, D. Huttenlocher.

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explorations_over_privacyattacks

This repository is exploration of interaction between basic Membership Inference Attack (MIA), Model Inversion (MI) and Differential Privacy (DP) and Mutual Information Regularization

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ambitious_explorations_privacyattacks

A study of self implementations of first memebership inference attack (MIA) and model inversion (MI) and some weak ideas surrounding them

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