adeeps1 Goto Github PK

1asingh.github.io

Data Science Portfolio

a-novel-approach-for-network-intrusion-detection-using-probability-parameter-to-ensemble-machine-lea

I WILL RELEASE THE CODE AFTER MY PAPER IS PUBLISHED.Aim of this project is to develop an algorithm which has better performance than the existing methods.This project is basically detecting any unauthorised intruder in the network.This intruder can be through DDOS, Probe attack, U2R ,R2L attacks,etc.NSL-KDD and CIC-NID-2017 datasets have been used for training the models.

adaptive-filters

My collection of implementations of adaptive filters.

advanced-numerical-techniques

Assignments for advanced numerical Techniques are stored in this repo.

advml

adversarial machine learning for anti-malware software

algorithms

General purpose implementation of advanced algorithms

algorithmsanddatastructuresinaction

Advanced Data Structures Implementation

alibi-detect

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

android_malware_capstone

Investigation of Android mobile Malware using the SherLock dataset

anogan

anomaly detection with GAN

anogan-mnist

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anomaly_detection

MD,LSTM-AE,VAE-MAD-GAN

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bci_challenge

bigan

Pytorch implementation of BiGAN and Conditional BiGAN

bilrp_explain_similarity

Code for the paper "Building and Interpreting Deep Similarity Models"

biof509

Machine Learning and Object Oriented Programming with Python, a FAES course at the National Institutes of Health

brainnet-ml-toolbox

Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.

brainnetworks

Graph Convolutional Neural Networks for Alzheimer’s Classification with transfer learning and HPC methods

cadgmm

CADGMM (PAKDD2020)

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

classifiertoolbox

A MATLAB toolbox for classifier: Version 1.0.7

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

covarianceestimation.jl

Lightweight robust covariance estimation in Julia

cs523

An application of CVAE on MINIST dataset

david-silver-reinforcement-learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning