HamidrezaGholamrezaei
Passionate about AI, with expertise in Machine Learning, Deep Learning, and Data Science. Actively contributing to the advancement of AI technologies.
Kiaserslautern, Germany
Pinned Repositories
GenerativeAI-LLMs-DeepDive
Dive deep into the world of Generative AI with Large Language Models (LLMs), building upon the "Generative AI with Large Language Models" course by DeepLearning.AI and Amazon Web Services on Coursera. It enhances the original course materials with in-depth analyses, personal insights, and a collection of unique projects.
LLM-Text-Classification-with-RoBERTa
A project demonstrating the use of Large Language Models (LLMs) for text classification using the RoBERTa model.
LLM_LangChain_ChatBot
LLM_LangChain_ChatBot is a contextual document retrieval chatbot that leverages LangChain to process user queries and generate accurate responses based on the content of retrieved documents. Ideal for applications requiring precise information retrieval and context-aware interactions.
SamplerGAN
A novel approach, named SamplerGAN, for generating high-quality labeled data
SRAR
A Natural Language Processing application designed for analyzing customer reviews to extract sentiments, identify themes, and generate personalized recommendations.
HamidrezaGholamrezaei's Repositories
HamidrezaGholamrezaei/LLM-Text-Classification-with-RoBERTa
A project demonstrating the use of Large Language Models (LLMs) for text classification using the RoBERTa model.
HamidrezaGholamrezaei/SamplerGAN
A novel approach, named SamplerGAN, for generating high-quality labeled data
HamidrezaGholamrezaei/GenerativeAI-LLMs-DeepDive
Dive deep into the world of Generative AI with Large Language Models (LLMs), building upon the "Generative AI with Large Language Models" course by DeepLearning.AI and Amazon Web Services on Coursera. It enhances the original course materials with in-depth analyses, personal insights, and a collection of unique projects.
HamidrezaGholamrezaei/SRAR
A Natural Language Processing application designed for analyzing customer reviews to extract sentiments, identify themes, and generate personalized recommendations.