moradbeikie
Data Scientist and Machine Learning Researcher PhD Candidate
isfahan university of technologyisfahan
Pinned Repositories
awesome-persian
لینکهای ایرانی توسعه و طراحی
deep-learning
Deep-Learning-NLP
:satellite: Organized Resources for Deep Learning in Natural Language Processing
DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
lectures
Oxford Deep NLP 2017 course
News-Recommendation-Engine
A real time news recommendation application.
NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems
project_IR
reinforcement-learning
sentiment-analysis-in-telegram
moradbeikie's Repositories
moradbeikie/awesome-persian
لینکهای ایرانی توسعه و طراحی
moradbeikie/DeepLearn
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
moradbeikie/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems
moradbeikie/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
moradbeikie/personal_recommendation-master
The personalized recommendation system is an intelligent platform based on massive data mining. It can simulate store sales personnel to provide product information and suggestions to customers, and provide fully personalized decision support and information services for customers' shopping. Its goal is to Satisfying the needs of users, meeting the needs that users are not aware of, or realizing, but not expressing the needs, allowing users to go beyond the individual's vision and avoid seeing the trees without seeing the forest. A good recommendation system can greatly increase user loyalty and bring huge benefits to e-commerce. Personalized recommendation is to recommend information and products of interest to users according to their interests and purchasing behavior. As the scale of e-commerce continues to expand, the number and variety of products grow rapidly, and customers need to spend a lot of time to find the products they want to buy. This kind of browsing of a large amount of unrelated information and product processes will undoubtedly cause consumers who are drowning in information overload problems to continue to lose. In order to solve these problems, a personalized recommendation system came into being. The recommendation system is a branch of data mining. It is a special data mining system, which is mainly reflected in the real-time and interactivity of the recommendation system. The system recommends information that meets the interests of the user according to the user's interests, also known as the personalized recommendation system. It not only based on the user's past history, but also needs to react in real time with the behavior of the current period of time, and correct and optimize the recommendation result according to the feedback result of interaction with the user.
moradbeikie/query-expansion
Query Expansion via thesaurus
moradbeikie/recommenders
Best Practices on Recommendation Systems
moradbeikie/search-engine-
moradbeikie/stanfordnlp
Official Stanford NLP Python Library for Many Human Languages
moradbeikie/tensorflow
An Open Source Machine Learning Framework for Everyone
moradbeikie/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
moradbeikie/deep-learning
moradbeikie/project_IR
moradbeikie/reinforcement-learning
moradbeikie/sentiment-analysis-in-telegram
moradbeikie/2023_ImageCLEFmed_GANs_submissions
Repo for which users will create pull requests for subissions (ImageCLEGmedical GAN challenge).
moradbeikie/BERTopic
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
moradbeikie/Chain-of-ThoughtsPapers
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
moradbeikie/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
moradbeikie/image-processing
moradbeikie/kgtk-notebooks
moradbeikie/Large-Language-Models
Large Language Models (LLMs) tutorial
moradbeikie/meta-learning
meta learning tutorial
moradbeikie/Multimodal-GPT
Multimodal-GPT
moradbeikie/PersianStemmer-Python
PersianStemmer-Python
moradbeikie/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
moradbeikie/recommendation-system
recommendation system tutorial
moradbeikie/reinforcement-learning-an-introduction
Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).
moradbeikie/roco-dataset
Radiology Objects in COntext (ROCO): A Multimodal Image Dataset
moradbeikie/Text_Classification
Text Classification Algorithms: A Survey