sidharthgurbani Goto Github PK

advertorch

A Toolbox for Adversarial Robustness Research

cnn-for-image-classification

In this project, I have used a simple 3 layered CNN to perform image classification on CIFAR-10 dataset

codingquestions

I have collected all the coding questions(along with my answers) that I felt were important and amongst the frequently asked questions (ranging from easy, medium and hard questions) from different coding platforms.

distracted-driver-detection-using-pytorch

Recognizing distracted behaviours of drivers using State Farm's - Distracted Driver Detection Dataset

har-using-pytorch

Implement Human Activity Recognition in PyTorch using hybrid of LSTM, Bi-dir LSTM and Residual Network Models

image-to-image-translation-using-cycle-gans

This notebook illustrates the use of Cycle GANs for Image2Image Translation on two sets of images (summer and winter). We take 2 sets of unpaired images (taken randomly and independent of each other) of summer and winter background scenes. Each of these sets is trained to generate images that slook like an image from the other set. There is no relation between any of these images and hence this is unsupervised learning

invertible-resnet

invertible-resnet-1

Official Code for Invertible Residual Networks

logistic-regression-with-markov-chain-probabilistic-modelling

machine-unlearning

Project: CS839 - Modern Data Management and Machine Learning Systems

multi-class-classification-using-support-vector-machines

Explored different methods to perform multi-class classification using SVM classifiers

my-files

rcc_dl

rcc_proj

Perform machine learning analysis to extract important features for RCC detection

sentiment-analysis-and-text-based-manipulation-of-face-images

Manipulated real face images in Mathematica by controlling facial features to depict different expressions of sadness, happiness, surprise and anger. Performed sentiment analysis on a text input using a Markov trained model and mapped the probability distribution to the chernoff-face parameters to get the expression

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection

twitter-sentiment-analysis-tutorial-201107

Code to reproduce the simple sentiment analysis from my presentation

watermark-extraction

Identify paper watermarks and extract them using recto, verso and spectral images