kaushik333

Bayesian-Optimization-on-Sets

Traditionally Bayesian optimization is performed on a continuous domain. However in some cases, the function that we are trying approximate takes set-valued inputs and the domain is a set of sets. This repository is an implementation of the paper "Practical B.O. over Sets", shown on a standard test non-convex function.

D2D-communication

optimal mode selection between normal cellular and D2D mode.

DataExfiltrationDetection

Diversity-promoting-online-sampling-for-streaming-video-summarization

Facial-Expression-recognition

Facial Expression recognition using Spatio-temporal Gabor filters

Image-compression-using-SVM

PhysicsAI4Imaging

Using DNN for inverse problems in imaging

Piggyback-GAN-Pytorch

Implementation of the paper PiggybackGAN (ECCV 2020) as part of ML reproducibility challenge.

Reconnet

Reconstruction of images from compressively sensed measurements using CNNs

S2-graph-based-Active-Learning

S2: An efficient graph based active learning algorithm with application to nonparametric classification

kaushik333/D2D-communication

optimal mode selection between normal cellular and D2D mode.

kaushik333/Piggyback-GAN-Pytorch

Implementation of the paper PiggybackGAN (ECCV 2020) as part of ML reproducibility challenge.

kaushik333/Reconnet

Reconstruction of images from compressively sensed measurements using CNNs

kaushik333/Facial-Expression-recognition

Facial Expression recognition using Spatio-temporal Gabor filters

kaushik333/DataExfiltrationDetection

kaushik333/Bayesian-Optimization-on-Sets

Traditionally Bayesian optimization is performed on a continuous domain. However in some cases, the function that we are trying approximate takes set-valued inputs and the domain is a set of sets. This repository is an implementation of the paper "Practical B.O. over Sets", shown on a standard test non-convex function.

kaushik333/Diversity-promoting-online-sampling-for-streaming-video-summarization

kaushik333/Image-compression-using-SVM

kaushik333/S2-graph-based-Active-Learning

S2: An efficient graph based active learning algorithm with application to nonparametric classification

kaushik333/Uncertainty-quantification-VAE

Uncertainty quantification of a VAE

kaushik333/PhysicsAI4Imaging

Using DNN for inverse problems in imaging

kaushik333/Continual-Learning

kaushik333/Coursera-ML

kaushik333/Filtering-App-Android

kaushik333/Image-GPT

Implementing pixel level image gpt from scratch

kaushik333/Image-Stitching-Panorama-mode

kaushik333/interview-preparation

Preparation for interview.

kaushik333/kaushik-website

kaushik333/kaushik333.github.io

kaushik333/MLAlgorithms

kaushik333/NumericalOptimization

kaushik333/PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

kaushik333/pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

kaushik333/SentimentAnalysis

kaushik333/Sequence-to-Sequence-model-for-machine-translation

Seq2Seq model to perform English to French translation

kaushik333/testGit

Git tutorial

kaushik333/Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

kaushik333/useful-computer-vision-phd-resources

Lists of resources useful for my PhD in computer vision