Pinned Repositories
AI_Security
This is a paper list about Machine Learning for IDSes
algodeck
Algo Deck is an Open-Source Collection of +200 Algorithmic Cards to Help you Preparing your Algorithm & Data Structure Interview
algorithms
Data Structures and algorithms implemented in C++
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Artificial-Intelligence
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
deep-learning-with-pytorch
This repository implements all the fundamentals to get started with PyTorch and Deep Learning.
hands-on-machine-learning
practical-python-and-opencv
RT-NIDS-Malicous-URL-Detection
A final year project in real time network intrusion and malicious URL Detection and Network Traffic Visualization
saas-starter-template
Saas Based React + Django Starter Template
KeshavChaurasia's Repositories
KeshavChaurasia/AI_Security
This is a paper list about Machine Learning for IDSes
KeshavChaurasia/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
KeshavChaurasia/avr-weather-esp8266
Weather fetching through wifi with LCD1602 + Atmega32 + ESP8266
KeshavChaurasia/Awesome-ML-for-Anomaly-Detection
A curated list of machine learning for anomaly detection.
KeshavChaurasia/books
KeshavChaurasia/coding-interview-university
A complete computer science study plan to become a software engineer.
KeshavChaurasia/daen-690-insider-threat
KeshavChaurasia/Deep-Learning-Experiments
Notes and experiments to understand deep learning concepts
KeshavChaurasia/dsa-in-python
this contains all the solved problems of book data structures and algorithms in python of Michael goodrich
KeshavChaurasia/educate-resource-for-machine-learning
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
KeshavChaurasia/IDS-UNSW-NB15
IoT intrusion Detection Model based on neural network and random forests
KeshavChaurasia/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
KeshavChaurasia/RecordingSample
Recording Sample by React Native
KeshavChaurasia/solid-principle
KeshavChaurasia/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks