#Solutions
Showing 27 of 27 repositories tagged #solutions, ranked by stars
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
π Collection of Kaggle Solutions and Ideas π
π¨βπ» 30 Days of Code by HackerRank Solutions in C, C++, C#, F#, Go, Java, JavaScript, Python, Ruby, Swift & TypeScript. PRs Welcome! π
Leetcode Solutions in Rust, Advent of Code Solutions in Rust and more
My Answer to 120 Data Science Interview Questions
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
A tool displaying your DevOps solution map and their adoption for each step of the loop. Demo available on GitHub Page !
Solution to LeetCode π» Algorithms problems.
Advent of Code problems solved in Python.
My Solutions to Codility (100% performance) (using Python)
Python Solutions of LeetCode Problems. Daily Update. If you like this, please leave me a star. β :octocat:
This repository contains solutions to coding challenges from websites like Hackerrank, Coderbyte, etc.
My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.
Set of standalone and reusable AWS/DevOps solutions implemented as Terraform modules πΊπ¦
Full solutions for fall1617 iteration of Stanford course CS131: Computer Vision Foundations and Applications
[180+ scripts] There are a few genuine gems in there. And a lot of spaghetti code. Most of these scripts were for solving CTF's. If you googles something for a CTF and landed here look at the scripts they're all fairly malleable. Sorry for the shitty naming conventions (not really). If you are a recruiter stop. I wont be able to rewrite half this shit in a formal interview Β―\_(γ)_/Β―
Writeups for all the HTB machines I have done
EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
CTF - Jarvis OJ ζηι’解
Quant Invest Lab is a project aimed to provide a set of basic tools for quantitative experiments. By quantitative experiment I mean trying to build your own set of investments solution.
How to Solve it by Computer - R.G. Dromey Solutions
THM | TryHackMe - tools, writeups, notes, solutions
CTF Writeups
Different writeups and solutions of all CTF Contests that we've played!
Repository for writeups of ctf challenges