Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

PyTorch Tutorial for Deep Learning Researchers

Teknofest 2024 Türkçe Doğal Dil İşleme Yarışması Serbest Kategoride birincilik elde eden projemizin reposudur.

Building a GPT-like LLM from scratch with PyTorch.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.

Documentation on MiniLibX and curriculum projects

Reproduce a basic shell like bash (C)

12 Weeks, 24 Lessons, AI for All!

NLP Zero to Hero in just 10 Kernels

One of the first graphical projects at 42 school, fract-ol introduces us to 2D programming with fractal generation.

Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖

FDF / Finished / 125 scored

A clean visualizer for your Push Swap Algorithm, you can't fix what you can't see !

simple and highly effective algorithm project | école 42

42 fdf - 3D Wireframe graphics

Minishell is a 42 school team project to create a basic shell program in C. It implements redirections and pipes, as well as environment variables and some builtin commands.

Projects and useful articles / links

42 common core projects

A python package for text preprocessing task in natural language processing.

Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Bu repo, Yapay Sinir Ağları (YSA) hakkında hem teorik hem de pratik bilgileri bir arada sunmaktadır. Yapay Sinir Ağlarının temel prensiblerini, nasıl çalılştıklarını ve temel bileşenlerini detaylı …

A collection of NLP projects implemented from scratch using PyTorch, ranging from beginner-friendly tasks to advanced topics.

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

16 projects in the framework of Computer Vision algorithms: 16 projects in the framework of Computer Vision algorithms: CNN, RNN, LSTM, Facial KeyPoints, Image Captioning, SLAM, Edge Detectors, Day…

Artificial Neural Network from scratch