Abou Bakr Essadiq REDJIL's starred repositories
GAMP-regression
Generalized Approximate Message Passsing (GAMP) with known variance and prior hyperparameters for regression
zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
kdv-compact
Solving KdV equation with finite difference optimized compact scheme for first- and third-derivatives
mesa-desktop
The cross-platform desktop client for the Mesa Discord clone
awesome-fortran
Awesome list of Fortran libs
fortran2018-examples
Fortran 2018 standard examples with broad applications
Fortran-MOOC
Material related to the PRACE MOOC on Fortran programming
Fortran4Researchers
Example code showing most features of modern Fortran
super-productivity
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, Gitlab, GitHub and Open Project.
Colab-Hacks
Simple Hacks for Google Colaboratory to boost your productivity and help you to perform daily tasks.
Algorithmic-Pseudocode
This repository contains the pseudocode(pdf) of various algorithms and data structures necessary for Interview Preparation and Competitive Coding
ComputationalPhysics2
Advanced course in Computational Physics, see texbook at http://compphysics.github.io/ComputationalPhysics2/doc/LectureNotes/_build/html/ with an emphasis on computational quantum mechanics, machine learning and quantum computing.
MachineLearning
Course on Machine Learning and Statistical data Analysis with book at https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html. Contains Linear and Logistic Regression, Neural Networks and Deep Learning methods, Decision Trees, Random forests, Boosting methods and other ensemble methods, support vector machines and central unsupervised learning algorithms.
fortran-lang.org
(deprecated) Fortran website