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najibodhah's Projects

100-days-ml-note icon 100-days-ml-note

Play ML codes for break based on https://github.com/Avik-Jain/100-Days-Of-ML-Code, augmented by ipython notebooks.

5gsim icon 5gsim

5G networks simulator with focus on optical access network for RANs

6g-resource-allocation-milp icon 6g-resource-allocation-milp

A set of mixed-integer linear programs designed to reduce the CO2 emissions of a simulated 6G cloud-fog network architecture. Designed in AMPL.

ac_simutils icon ac_simutils

Algorithmic C and MatchLib Simulation/Modeling Utilities

agents icon agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aimet icon aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

andrew-ng-ml-solutions icon andrew-ng-ml-solutions

Solutions of the exercises of Andrew Ng's Machine Learning course available on Coursera (in Octave and Python).

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bdsim icon bdsim

Simulate dynamic systems expressed in block diagram form using Python

book-resource-allocation icon book-resource-allocation

Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol. 9, no. 2-3, pp. 113-381, 2013

bookdown icon bookdown

Authoring Books and Technical Documents with R Markdown

castalia icon castalia

An OMNeT-based simulator for low-power wireless networks such as Wireless Sensor Networks and Body Area Networks

channel-estimation icon channel-estimation

Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018

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