hamedr96 Goto Github PK

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.

hallucination-

Leverage hallucinations from Large Language Models (LLMs) for novelty-driven explorations.

hamedrahimi.github.io

hybrid-message-passing-architectures-for-node-prediction

Hybrid Message-Passing Architectures for Node Prediction: uses OGB to explore techniques

locost-summarization

mudi-stream

A multi density clustering algorithm for evolving data stream

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.

ntm

Implementation of Recent Neural Topic Models (ETM, ATM, Top2Vec, CTM, BERTopic) for 20Newsgroup Corpus.

optimization-cvxpy

Optimization using CVXPY python library

paper-qa

LLM Chain for answering questions from documents with citations

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.

sot

Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding

topic-model-diversity

A collection of topic diversity measures for topic modeling

traditional-ntms

some old school neural topic models with Pytorch Lightning.

wmp-back-end

This project is done by Hamed Rahimi for the course web and mobile programming at Mines Saint Etienne

wmp-frontend

This project is done by Hamed Rahimi for the course web and mobile programming at Mines Saint Etienne