Labs for "Programming for network engineers" course

RayCloudSim: A Simulator Written in Python for Cloud, Fog, or Edge Computing

A curated list of free courses & certifications.

Explore the complete Deep Learning MasterClass in TensorFlow and PyTorch, covering neural networks, GANs, Transformers, VAEs, and more. Your go-to resource for mastering cutting-edge techniques.

A source of pyImageSearch university courses

This is a repo to upload my labs and projects during my DeepLearning.AI TensorFlow Developer Professional Certificate

studies for Tensorflow developer certification

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in heterogenous networks. The model is basd on deep-Q-network (DQN…

Completed Udemy's TensorFlow Developer Course, earning certification on 6th Jan 2024. Includes Jupyter Notebooks and certification PDF. Utilized resources from mrdbourke's TensorFlow repo. Explore …

TensorFlow is an open-source machine learning framework developed by Google. It provides a versatile platform for creating and deploying machine learning models, particularly neural networks, enabl…

Deep Learning Docker Image

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Paper list of multi-agent reinforcement learning (MARL)

Chromium builds for Windows x64

collectiocollection of Machine Learning Projects

Embark on my 100-day journey into the world of Machine Learning! Explore daily logs, code snippets, and hands-on projects as I dive into ML fundamentals, advanced concepts, and real-world applicati…

Exploratory data analysis projects on Different datasets to enhance Data Analysis and visualization

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

Optimization of routing strategies using reinforcement learning in an OMNeT++ simulated network environment.

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are…

Creation of ONOS controller cluster with Atomix using Docker Compose, with integration of Envoy Proxy

Simulation code for multi-user offloading in edge computing newtorks

Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)