Hong Hanh (honghanhh)

honghanhh

User data from Github https://github.com/honghanhh

Company:Arkhn

Location:Paris, France

Home Page:https://hanh.zootopi.dev/

GitHub:@honghanhh


Organizations
ZootoPi

Hong Hanh's repositories

wqu_capstone_project_3621

Worldquant University's Capstone Project

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mci_python_31_level_1

Submit assignment with name: [yourname]_[assignmentname].ipynb

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terminology-extraction

Terminology extraction on ACTER using Transformer-based language models

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ate-2022

Can Cross-domain Term Extraction Benefit from Cross-lingual Transfer?

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prompt_ate

Is Prompting What Term Extraction Needs?

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ate_nobi

Automatic Term Extraction with NOBI Sequence Labeling approach

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fsdl_2022_solution

Solution of Full Stack Deep Learning - Course 2022

oeis_similarity

Premise Selection using OEIS portal

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semeval8

L3i++ at SemEval2024-task8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection

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Eloquent2024

Shared tasks for evaluation of generative language model quality

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llama-gpt

A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device.

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lner

LEGALLENS 2024: DETECTING LEGAL VIOLATIONS

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nobi_annotation_regime

NOBI annotation regime - ACTER v1.6; RSDO v1.2

py40a12l2

Submit assignment with name: [yourname]_[assignmentname].ipynb

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agents-course

This repository contains the Hugging Face Agents Course.

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ai4science

Word representation capturing latent knowledge

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ate-docker

Docker version for ATE API

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awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

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course

The Hugging Face course

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definition_extraction

Slovenian Definition Extraction

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diffusion-models-class-vn

Materials for the Hugging Face Diffusion Models Course

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education-toolkit

Educational materials for universities

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free-programming-books

:books: Freely available programming books

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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.

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