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Name: Tamer Al-Mashat

Type: User

Tamer Al-Mashat's Projects

100_days_mldl

Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory with Implementation. Save for Later ⭐ Happy Learning :)

365-days-of-ai

Documenting my AI journey

abigsurvey

A collection of 700+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2022

applied-machine-learning-explainability-techniques

Applied Machine Learning Explainability Techniques, published by Packt

applied-ml

📚 Papers by organizations sharing their work on applied data science & machine learning.

apply-probability-distributions-in-dataset

in this Jupyter notebook we explain probability distributions and apply them in real datasets

artificial-intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

artificial-intelligence-and-machine-learning

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

autonomous-learning-library

A PyTorch library for building deep reinforcement learning agents.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

bert-pytorch

Google AI 2018 BERT pytorch implementation

bigdataindepth

Data Engineering Course

bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

competitive-programming-library

Code library for competitive programming purposes.

complete-machine-learning-

This repository contains everything you need to become proficient in Machine Learning

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

convolutional_neural_networks_essentials

Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networks

coursera-specializations

Coursera specializations road map for computer science students.

courseramachinelearning

Coursera Machine Learning By Prof. Andrew Ng

creditriskpaper

Codes for replication and implementation of techniques in our credit risk article

cs329s

Lecture slides and course materials for Standford's CS 329S: Machine Learning Systems Design

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