deyachatterjee

Data-Science--Cheat-Sheet

Cheat Sheets

lime

Lime: Explaining the predictions of any machine learning classifier

PySyft

Perform data science on data that remains in someone else's server

OUCML

awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Learn-Natural-Language-Processing-Curriculum

This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube

awesome-vqa

Visual Q&A reading list

easy_seq2seq

[unmaintained] go to https://github.com/suriyadeepan/practical_seq2seq

awesome-differential-privacy

list of differential-privacy related resources

robust-physical-attack

Physical adversarial attack for fooling the Faster R-CNN object detector

Awesome-Fools

:skull: A collection of methods to fool the deep neural network :skull:

digit-recognizer-flask-cnn

A simple Flask application that recognizes handwritten digits. Developed using TensorFlow and Keras.

Practical-Deep-Learning-For-Coders

Material for my run of Fast.AI

CCC

Code. Compete. Collaborate. An initiative taken to code and help people code from A-Z aimed majorly at placements, by collaborators from around the globe.

adversarial-attacks-pytorch

This repository contains implementation of 4 adversarial attacks : FGSM, Basic Iterative Method, Projected Gradient Descent(Madry's Attack), and Carlini Wagner's L2 attack. Also contained is the code to visualise it, along with a detailed report and a poster explaining the various attacks.

adversarial-examples

Adversarial Examples: Attacks and Defenses for Deep Learning

Digital-Image-Processing

Implementations and Notes for Digital Image Processing

adversarial_example

A simple adversarial attack on a linear model

DL-Toolkit

CapsNet-Adversarial

Capsule networks can defend against adversarial attacks using reconstruction error

atgan

GAN for adversarial attacks; CSC2541 project.

Gainsboro-box-attacks-

An exploration into transfer learning and adversarial perturbations

P2-traffic-sign-classifier

Traffic Signs classification project using GTSRB dataset using a modified VGGNet architecture in tensorflow

Adversarial-Attacks-TMLS-Talk

Slides and code from my "Adversarial Attacks and their Impact on Insurance" talk at the Toronto Machine Learning Summit 2017 Nov.

P5-Vehicle-Detection

A vehicle detection pipeline trained on cars from kitti dataset using SVM classifiers on color and spatial features.

awesome-differential-privacy

A curated list of awesome Differential Privacy resources

neural-qa-dialog

bAbi-tasks

Neural Networks for QA tasks

awesome-differential-privacy

A curated reading list of papers and code in differential privacy

talks

Source material for my talks, workshops etc