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300days__machinelearningdeeplearning

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

adv_gan_keras

Keras implementation of AdvGAN by Xiao et al. (2018) https://arxiv.org/abs/1801.02610

adversarial-attacks-and-defences

A defense algorithm which utilizes the combination of an auto- encoder and block-switching architecture. Auto-coder is intended to remove any perturbations found in input images whereas block switching method is used to make it more robust against White-box attack. Attack is planned using FGSM model, and the subsequent counter-attack by the proposed architecture will take place thereby demonstrating the feasibility and security delivered by the algorithm.

adversarial-example-attack-and-defense

This repository contains the rough implementation of three adversarial example attack methods and one defense against all using MNIST dataset.

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

banking-project

A Python based banking application using file handling and and which also uses Tkinter module for a user friendly GUI.

behavioural-cloning

boston-house-pred

The original source of the dataset is attributed to: Harrison, D., Rubinfeld, D.L., “Hedonic Prices and the Demand for Clean Air”, Journal of Environmental Economics & Management (5), 1978, pp. 81–102. The multivariate dataset is concerned with housing values in the suburbs of Boston. The dataset consists of 506 records with 13 continuous variables and 1 binary variable. The dependent variable is MEDV. There is no missing data. A description of each variable is provided below: 1. CRIM – per capita crime rate by town 2. ZN – proportion of residential land zoned for lots over 25,000 sq.ft. 3. INDUS – proportion of non–retail business acres per town 4. CHAS – Charles River dummy variable (1 if tract bounds river; 0 otherwise) 5. NOX – nitric oxides concentration (parts per 10 million) 6. RM – average number of rooms per dwelling 7. AGE – proportion of owner–occupied units built prior to 1940 8. DIS – weighted distances to five Boston employment centres 9. RAD – index of accessibility to radial highways 10. TAX – full-value property-tax rate per $10,000 11. PTRATIO – pupil-teacher ratio by town 12. B – 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town 13. LSTAT – % lower status of the population 14. MEDV – Median value of owner-occupied homes in $1000's

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

checking-prices-of-amazon

Tracking Price of amazon

chemical-compound-prediction

coding-interview-university

A complete computer science study plan to become a software engineer.

compression-using-autoencoder

Using a simple auto encoder to compress a MNIST image and retrieving it from compressed form using Linear Neural network and Convolution Neural Network

dsalgo

📚This repository consists of solutions to various problems and concepts of Data Structures and Algorithms in Python3 stored in a structured manner.👨‍💻

face-mask-detection

Face Mask Detection : Classify in 3 Categories : Wear Mask , Wear Mask Properly and Thank you for Wearing mask

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

githubgraduation-2021

Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

hacktoberfest

EASY PULL REQUEST! Don't forget to star if it helped!

house-price-prediction

House Price prediction using Linear Regression

intro-to-computer-vision-with-python-opencv

An Introduction to Computer Vision using OpenCV with Python Bindings

javascripting

Learn JavaScript by adventuring around in the terminal.

lane-line-basic

learnyounode

Learn You The Node.js For Much Win! An intro to Node.js via a set of self-guided workshops.

logistic-reg

Logistic regression from scratch with NumPy

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

naip_pooldetection

Object recognition program using a convolutional neural network (CNN) to detect features from NAIP aerial imagery.

neural-hash-collider

Preimage attack against NeuralHash 💣

python-practise-problems

python-project-template

Azavea Data Analytics team template for Data Science projects

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques