jilljenn / tryalgo
Algorithms and data structures for preparing programming competitions: basic and advanced
☆371Updated last month
Related projects ⓘ
Alternatives and complementary repositories for tryalgo
- A set of tools and algorithms to perform in programming competitions☆149Updated 5 years ago
- Notebook for INSA Lyon teams at ACM ICPC 2017. Ideas and sources are mainly from Razvan Stancioiu and the Stanford University ACM team.☆46Updated 6 years ago
- A Literate Program about Data Structures and Object-Oriented Programming☆241Updated 6 months ago
- A tool that translates augmented markdown into HTML or latex☆459Updated 2 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆269Updated 6 years ago
- Learning some Numerical Analysis☆91Updated 7 years ago
- Lectures for INFO8002 - Large-scale Data Systems, ULiège☆64Updated 2 years ago
- A collection of programs found in `The Algorithm Design Manual (2nd Edition) by Steven Skiena`☆46Updated 6 years ago
- Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)☆329Updated last year
- Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc☆507Updated 3 years ago
- This is the code for "Dynamic Programming" by Siraj Raval on Youtube☆52Updated 5 years ago
- Site web of the Mathematical Tours☆440Updated last month
- Source code for 'Python Algorithms' by Magnus Lie Hetland☆63Updated 7 years ago
- AppEngine hosted chat server. Example for the distributed systems class at www.distributedsystemscourse.com☆141Updated 3 years ago
- This repository contains the code associated with the "Working With Algorithms In Python" Safari Video. http://shop.oreilly.com/product/1…☆195Updated 10 years ago
- ops-class.org OS/161 sources.☆131Updated 4 years ago
- 🏃 Python Solutions of All 26 Problems of GCJ 2018☆40Updated 3 years ago
- Notes on mathematical topics that pertain to machine learning☆103Updated 2 years ago
- Stanford ACM-ICPC related materials☆1,606Updated 3 years ago
- Six snippets of code that made deep learning what it is today.☆261Updated 5 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆133Updated 4 years ago
- Python 3 port of the Java code in the textbook Algorithms, 4th Edition.☆158Updated last year
- Project Euler solutions in Python, Haskell, Ruby, Rust, and more.☆148Updated 5 years ago
- My notes for Tim Roughgarden's awesome course on Algorithms and his 4 part books☆159Updated 3 years ago
- A collection of interesting dynamic programming problems☆180Updated 2 years ago
- Python implementations of selected Princeton Java Algorithms and Clients by Robert Sedgewick and Kevin Wayne☆168Updated 2 months ago
- Sample code for deep learning & neural networks☆172Updated this week
- Cours d'Exo7☆43Updated 6 months ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆283Updated 7 years ago