Skip to content
View leogaudin's full-sized avatar
🦁
🦁
66 followers · 15 following

Achievements

Achievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx2

Achievements

Achievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx2

Highlights

  • Pro

Block or report leogaudin

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
leogaudin/README.md

📖 Tutorials

Project Description Skills
Learn2Slither Teach an AI to play Snake. Python, Reinforcement Learning, Q-Learning, PyTorch
multilayer-perceptron Implementing a multilayer perceptron framework. Python, Math, Machine Learning, Neural Networks
matrix Implementing complete Matrix and Vector classes. Linear algebra
dslr Implementing the Hogwarts Sorting Hat. Python, Math, Machine Learning, Logistic Regression
ready_set_boole Learning the basics of boolean algebra, set theory and logic. Boolean Algebra, Set Theory, Logic
ft_linear_regression Predicting the price of a car based on its mileage. Python, Linear Regression, Math, Data Analysis
libasm Implementing a few functions in Assembly. CPU Architecture, Assembly Language, x86-64
philosophers Threading a process and managing race conditions, shared memory and mutexes. C, Forking, Multithreading, Mutexes
fract-ol Implementing a fractal explorer in C. C, Math, Complex numbers, Fractals, Graphics Programming
minitalk Implementing a simple client-server communication program in C. C, UNIX Signals, Bitwise Operations

Pinned Loading

  1. Learn2Slither Learn2Slither Public

    42 · An introduction guide to reinforcement learning, teaching a snake how to behave in an environment through trial and error.

    Python 1

  2. multilayer-perceptron multilayer-perceptron Public

    42 · An introduction guide to artificial neural networks, with the implementation of a multilayer perceptron.

    Python 2 1

  3. dslr dslr Public

    42 • A guide to implement a linear classification model: logistic regression.

    Python 3

  4. ready_set_boole ready_set_boole Public

    42 • An introduction guide to Boolean Algebra, to discover the way computers work mathematically.

    Rust 2

  5. minitalk minitalk Public

    42 • A guide for minitalk, a client-server communication system implemented in C using UNIX signals.

    C 16 1

  6. fract-ol fract-ol Public

    42 • A guide for creating a small fractal exploration program. It is the time to discover or use the mathematical notion of complex numbers, to take a peek at the concept of optimization in compute…

    C 23 1