Pinned Repositories
ACM-ICPC-Algorithms
Algorithms used in Competitive Programming
CSP
Ebook-to-docbook
Feature-Learning
We aim to illustrate the difference between feature extraction and feature learning. We see that when using classical machine learning models, there is a requirement to come up with features (input to the model) “explicitly”, that would give the best and suitable output for the task in hand. However, when using deep learning models, these features are derived “implicitly” by the model as the training progresses.
Human-Aware-Motion-Deblurring
This repo is the implementation of the paper Human-Aware Motion Deblurring (https://arxiv.org/abs/2001.06816)
Neural-Net-Constituent-Parser
Panorama-BOVW
Polycystic-ovary-syndrome-PCOS-Prediction
Polycystic ovary syndrome (PCOS) Prediction
Transliteration
Rendering script into Indian given keyboard friendly input
VR_Group_Project_2
Dress Recognition in a snap
SLR1999's Repositories
SLR1999/Polycystic-ovary-syndrome-PCOS-Prediction
Polycystic ovary syndrome (PCOS) Prediction
SLR1999/Human-Aware-Motion-Deblurring
This repo is the implementation of the paper Human-Aware Motion Deblurring (https://arxiv.org/abs/2001.06816)
SLR1999/Neural-Net-Constituent-Parser
SLR1999/CSP
SLR1999/Panorama-BOVW
SLR1999/Transliteration
Rendering script into Indian given keyboard friendly input
SLR1999/VR_Group_Project_2
Dress Recognition in a snap
SLR1999/Ebook-to-docbook
SLR1999/Feature-Learning
We aim to illustrate the difference between feature extraction and feature learning. We see that when using classical machine learning models, there is a requirement to come up with features (input to the model) “explicitly”, that would give the best and suitable output for the task in hand. However, when using deep learning models, these features are derived “implicitly” by the model as the training progresses.
SLR1999/apis
SLR1999/c_plus_plus-coursework
This includes all coursework of c++
SLR1999/chef-book
SLR1999/coding-interview-cpp
A concise preparation material for competitive programming interviews
SLR1999/cutblur
Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)
SLR1999/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection
code and model of Pyramid Feature Selective Network for Saliency detection
SLR1999/FirstProject
Repository created by AWS CodeStar.
SLR1999/iotLightning
SLR1999/Java-coursework
This includes all coursework of java
SLR1999/JavaToCSharp
Java to C# converter, work in progress
SLR1999/ML_Assignment
SLR1999/MyHelloWorldApp
A simple application showing class and functional components
SLR1999/PowerShell
PowerShell functions and scripts (SCCM, SCSM, AD, Exchange, O365, ...)
SLR1999/reactNative
SLR1999/scientificCalculator
SLR1999/SE_Tutorial_IMT2017027
SLR1999/serverless-app-examples
SLR1999/SLR1999
SLR1999/SLR1999.github.io
SLR1999/TODO
A simple TODO app using react native
SLR1999/VR-Group-Project-1
Contains code for our first Group Project in the Visual Recognition Course. This includes code for Image classification on ciphar-10 using VLAD and Face recognition on IIITB Face Dataset.