__mo_san__ (m0saan)

m0saan

Geek Repo

Company:1337 FIL

Location:Morocco Benguerir

Twitter:@boustta_mo

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__mo_san__'s repositories

CPP-Module

Learn C++ through a CPP-Pool by 42

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structures

this repository contains a simple implementation to the most famous and useful data structures involving linear and non-linear ones

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ft_transcendence

Final Common Core Project at 1337 (42_cursus)

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mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

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webserv

this is a simple implementation of the HTTP server

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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awesome-AI-books

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

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awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

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d2l-study-group

🧠 Material for the Deep Learning Study Group

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Efficient_Python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

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fastbook

The fastai book, published as Jupyter Notebooks

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ft_containers

re-implementing vector, map, stack as STL's

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Go

Algorithms implemented in Go for beginners, following best practices.

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groovy

Apache Groovy: A powerful multi-faceted programming language for the JVM platform

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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kotlin

The Kotlin Programming Language.

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machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

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ML-From-Scratch

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 learning.

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ML-Notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

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ml_equations_latex

Classical ML equations in Latex, helps paper and blog writing

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MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

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nest

A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications on top of TypeScript & JavaScript (ES6, ES7, ES8) 🚀

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PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

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rish-16.github.io

Source code for my personal website

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