immohammadhosseini Goto Github PK

followers: 10.0 following: 23.0 repos: 23.0 gists: 0.0

Name: Mohammad Hosseini

Type: User

Bio: Seasoned AI Developer | ML Researcher| Investigating Reinforcement Learning in Real Life Problems

Location: Internet

I enjoy making connection between concepts. it makes me feel more creative and innovative and to do this I need to study. So, I love study. The ability of making connection between concepts helps me in professional works to. As an AI researcher, sometimes I gained solution with this ability.
Currently, I am a data mining master student and my thesis is about cloud computing resource managment. I proposed new mechanism to reach more optimized resource allocation and I have been struggling to implement it for the past few months. this approach takes help from graph NNs and Reinforcement learning.
I believe in the power of community and I believe in the power of freedom. So, I am passionate about free software movement and open source ideas and communities.
Apart from work, play music and read books gives a different mood to my life and make me feel alive.
If this intrests you, feel free to reach out to me.

You can find me at: 💬

👀 I’m interested in multi-agent reinforcement learning, multi-agent robot systems, reinforcement learning, Graph NNs, NLP
🌱 I’m currently learning multi-agent Reinforcement Learning, Robotic Operating System (ROS)
💞️ I’m looking to collaborate on AI and robotics

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Mohammad Hosseini's Projects

capsule-render

:rainbow: Dynamic Coloful Image Render

cfar10-pytorch

simple AI project with pytorch

curriculum-recommendations

email-spam-detection

:sparkles: spam detection using Bayesian Learning and Ensemble Learning. This repository implements Bayesian Learning from scratch

fontrecognition

:sparkles: Font recognition using deep neural networks. :boom: This repository includes an implementation of Article "DeepFont: Identify Your Font from An Image" :fire: for font recognition and two transfer-learning models. :zap:

gpcloudsimplus

State-of-the-art Framework 🏗 for Cloud Computing ⛅️ Simulation: a modern, full-featured, easier-to-use, highly extensible 🧩, faster 🚀 and more accurate ☕️ Java 17+ tool for cloud computing research 🎓. Examples: https://github.com/cloudsimplus/cloudsimplus-examples

gpucloudsimplus

add gpu support in cloudsimPlus

gpucloudsimplusexamples

heco

:sparkles: Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG

immohammadhosseini

Config files for my GitHub profile.

incremental-learning

:sparkles: Implementation of "Learn#: A Novel incremental learning method for text classification". Its includes four components: :heavy_check_mark:Student model (deep learning :fire:), :heavy_check_mark: a reinforcement learning (RL) module, :heavy_check_mark:a Teacher model, and :heavy_check_mark: a discriminator model.

knapsack-problem

solving knapsack problem using Ant Colony Optimization (ACO) algorithm

manufacturingscheduling-drl

This repository is the official implementation of the paper “Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning”. IEEE Transactions on Neural Networks and Learning Systems, 2023.

mkp-gbo

mkp-rl

:sparkles: Solve multi_dimensional multiple knapsack problem using state_of_the_art Reinforcement Learning Algorithms and transformers

pardazesh-magazine-archive

Pardazesh was a student magazine in computer science.

persianner

:sparkles: Named Entity Recognition in Persian language. In this project, the following deep learning models were used: :heavy_check_mark: Bi-directional LSTM-softmax :heavy_check_mark: Bi-directional LSTM-CRF :heavy_check_mark: Bi-directional LSTM_CNNs_CRF

immohammadhosseini Goto Github PK

You can find me at: 💬

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