hamedR96
Ph.D. student at Sorbonne University, member of the BD Team at CNRS LIP6, Ph.D. Fellow at Sorbonne Center for Artificial Intelligence (SCAI)
Sorbonne UniversiteParis, France
Pinned Repositories
ANTM
Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at different periods, and aligns document clusters to represent topic evolution.
azure-openai-design-patterns
BuildGenAIprodandBiz
INSEAD MBA Course "Building genAI Products and Business", Theodoros Evgeniou
CloudCal-CloudPic
In this project, we aim to use AWS to develop two computing systems within a web application: CloudCal and CloudPic
CNTM
Citation-informed Neural Topic Models
CTC
Contextualised Topic Coherence Metrics: A new way to evaluate neural topic models.
DeLLMa
Official Implementation of "DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models"
Discovery_RAG
RAG for Discovery
Geo-Position-Recommender
In this Project, we have designed a recommender system that provides geo position of transport facilities such as Train, Bicycle, Bus and Tram in France. Besides, it contains social geo positions such Museums, Hospitals, Universities and Post Offices in France.
Multiagent-5GMEC
Three Agent-Based Simulation for Edge Computing in 5G and Beyond for the recent paper titled "Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond" by Hamed Rahimi et al.
hamedR96's Repositories
hamedR96/ANTM
Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at different periods, and aligns document clusters to represent topic evolution.
hamedR96/Multiagent-5GMEC
Three Agent-Based Simulation for Edge Computing in 5G and Beyond for the recent paper titled "Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond" by Hamed Rahimi et al.
hamedR96/CTC
Contextualised Topic Coherence Metrics: A new way to evaluate neural topic models.
hamedR96/azure-openai-design-patterns
hamedR96/BuildGenAIprodandBiz
INSEAD MBA Course "Building genAI Products and Business", Theodoros Evgeniou
hamedR96/CloudCal-CloudPic
In this project, we aim to use AWS to develop two computing systems within a web application: CloudCal and CloudPic
hamedR96/CNTM
Citation-informed Neural Topic Models
hamedR96/DeLLMa
Official Implementation of "DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models"
hamedR96/Discovery_RAG
RAG for Discovery
hamedR96/Geo-Position-Recommender
In this Project, we have designed a recommender system that provides geo position of transport facilities such as Train, Bicycle, Bus and Tram in France. Besides, it contains social geo positions such Museums, Hospitals, Universities and Post Offices in France.
hamedR96/hallucination-
Leverage hallucinations from Large Language Models (LLMs) for novelty-driven explorations.
hamedR96/hamedrahimi.github.io
hamedR96/Hybrid-Message-Passing-Architectures-for-Node-Prediction
Hybrid Message-Passing Architectures for Node Prediction: uses OGB to explore techniques
hamedR96/MuDi-Stream
A multi density clustering algorithm for evolving data stream
hamedR96/langchain
🦜🔗 Build context-aware reasoning applications
hamedR96/locost-summarization
hamedR96/NTM
Implementation of Recent Neural Topic Models (ETM, ATM, Top2Vec, CTM, BERTopic) for 20Newsgroup Corpus.
hamedR96/Optimization-CVXPY
Optimization using CVXPY python library
hamedR96/paper-qa
LLM Chain for answering questions from documents with citations
hamedR96/SMASH
SMASH: a Semantic-enabled Multi-agent Approach for Self-adaptation of Human-centered IoT. In this code, we have considered the Smart Home as the case study of smart environments. SMASH agents are provided with a 4-layer architecture based on the BDI agent model that integrates human values with goal-reasoning, planning, and acting. It also takes advantage of a semantic-enabled platform called Home'In to address interoperability issues among non-identical agents and devices with heterogeneous protocols and data formats. This approach is validated by developing a scenario as the proof of concept. The timely responses of SMASH agents show the feasibility of the proposed approach in human-centered environments.
hamedR96/sot
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
hamedR96/topic-model-diversity
A collection of topic diversity measures for topic modeling
hamedR96/traditional-NTMs
some old school neural topic models with Pytorch Lightning.
hamedR96/WMP-Back-end
This project is done by Hamed Rahimi for the course web and mobile programming at Mines Saint Etienne
hamedR96/WMP-FrontEnd
This project is done by Hamed Rahimi for the course web and mobile programming at Mines Saint Etienne