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This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
List of evergreen skills, based on software development best practices & cross-framework principles, that should serve as a fair assessment of skilled software engineers / developers
Simple Quarkus Microservice for CI/CD Demo
A small web app to get the lengths of playlists on YouTube
A Google Chrome extension for calculating the duration of YouTube playlists.
Perform data science on data that remains in someone else's server
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Practical Cryptography for Developers: Hashes, MAC, Key Derivation, DHKE, Symmetric and Asymmetric Ciphers, Public Key Cryptosystems, RSA, Elliptic Curves, ECC, secp256k1, ECDH, ECIES, Digital Sign…
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
This is the PyTorch implementation of VGG network trained on CIFAR10 dataset
Matlab library for gradient descent algorithms: Version 1.0.1
Hornet data structure for sparse dynamic graphs and matrices
MPI programming lessons in C and executable code examples
Everything you need to know for a Software Engineering interview
📚 List of awesome university courses for learning Computer Science!
🎓 Path to a free self-taught education in Computer Science!
Capstone Project with General Assembly
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Exercises for the book Artificial Intelligence: A Modern Approach
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Python library for Multi-Armed Bandits
Python programs, usually short, of considerable difficulty, to perfect particular skills.