t5-model | Topic | Ecosyste.ms: Repos

Topic: "t5-model"

charent/ChatLM-mini-Chinese

中文对话0.2B小模型（ChatLM-Chinese-0.2B），开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调，给出三元组信息抽取微调示例。

Language: Python - Size: 12.6 MB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 1,540 - Forks: 174

920232796/bert_seq2seq

pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。

Language: Python - Size: 3.45 MB - Last synced at: 22 days ago - Pushed at: about 3 years ago - Stars: 1,299 - Forks: 211

clue-ai/PromptCLUE

PromptCLUE, 全中文任务支持零样本学习模型

Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: 27 days ago - Pushed at: about 2 years ago - Stars: 663 - Forks: 67

Shivanandroy/simpleT5

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

Language: Python - Size: 360 KB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 394 - Forks: 62

UBC-NLP/araT5

AraT5: Text-to-Text Transformers for Arabic Language Understanding

Size: 2.01 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 90 - Forks: 20

Praveen76/LLM-Projects-Archive

The "LLM Projects Archive" is a centralized GitHub repository, offering a diverse collection of Language Model Models projects. A valuable resource for researchers, developers, and enthusiasts, it showcases the latest advancements and applications in the realm of LLMs. Explore and contribute to the dynamic landscape of language model projects.

Language: Python - Size: 2.38 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 46 - Forks: 10

ai-forever/model-zoo

NLP model zoo for Russian

Size: 22.5 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 45 - Forks: 1

osainz59/t5-encoder

A extension of Transformers library to include T5ForSequenceClassification class.

Language: Python - Size: 43 KB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 38 - Forks: 5

p208p2002/Transformer-QG-on-SQuAD

Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)

Language: Python - Size: 98.6 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 32 - Forks: 2

gsarti/it5

Materials for "IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation" 🇮🇹

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 30 - Forks: 4

nsi319/Finetune-Transformers

Abstractive text summarization by fine-tuning seq2seq models.

Language: Python - Size: 2.53 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 9

lesterpjy/numeric-t5

Training T5 to perform numerical reasoning.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 23 - Forks: 1

M-Taghizadeh/flan-t5-base-imdb-text-classification

In this implementation, using the Flan T5 large language model, we performed the Text Classification task on the IMDB dataset and obtained a very good accuracy of 93%.

Language: Jupyter Notebook - Size: 42 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 21 - Forks: 2

wyu-du/GP-VAE

This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022)

Language: Python - Size: 11.2 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 20 - Forks: 3

mukul54/inter-iit-bridgei2i

Automated Headline generation and Aspect Based Sentiment Analysis

Language: Jupyter Notebook - Size: 46.8 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 6

yazdipour/text-to-sparql

End-to-End Model - Finetuned T5 for Text-to-SPARQL Task

Language: Jupyter Notebook - Size: 44.9 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 2

DeanLJY/BookCapsule

📚 Unearth the Core of Knowledge in Minutes 📓

Language: Python - Size: 13.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 2

jongwooko/NASH-Pruning-Official

About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)

Language: Python - Size: 114 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0

aryashah2k/NLP-Data-Augmentation

Implementing 5 Different Approaches To Augmenting Data For Natural Language Processing Tasks.

Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0

tm243/CodeT5-KDE

CodeT5 LLM fine-tuned with C++ code from KDE

Language: HTML - Size: 15.6 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 9 - Forks: 3

jacek-michalak/flan-t5-xl_GODEL-v1_1-large-seq2seq_gpt2-xl_chatbots-without-any-safety

Flan-T5 GODEL GPT-2 chatbots without any input and output filters

Size: 2.16 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

lcl-hse/heptabot

A full-text error corrector for English based on transformers and deep learning

Language: Jupyter Notebook - Size: 779 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 2

pedro-r-marques/tutorial-t5-fine-tune

Tutorial for text classification with fine tuning of a T5 model on TPUs.

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

nerdimite/abstract-to-title-generator

A T5-based Seq2Seq Model that Generates Titles for Machine Learning Papers using the Abstract

Language: Jupyter Notebook - Size: 59.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

svjack/GLM-Open-Dialogue

A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling

Language: Python - Size: 39.1 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 0

Sharif-SLPL/t5-fa

T5 (Text-to-Text Transformer Model) for Farsi.

Language: Python - Size: 63.5 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 6 - Forks: 0

Tejas1510/MOM

MOM is a create chrome extension to integrate with online meetings in order to produce multilingual text and voice summarizer for taking Minutes of Meeting

Language: JavaScript - Size: 47.2 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 1

animesh-sh/Text-Summarization-using-T5-transformers-and-Pytorch-Lightning

Language: Jupyter Notebook - Size: 6.29 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 0

nicolay-r/ViLongT5

LongT5-based model pre-trained on a large amount of unlabeled Vietnamese news texts and fine-tuned with ViMS and VMDS collections

Language: Python - Size: 3.38 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

AnMol12499/Text-to-SQL-using-T5-Model

Natural Language to SQL

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

dmhyun/MSRP

Official repository of Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization [EMNLP'22 Findings]

Language: Python - Size: 74.1 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

shibing624/t5-pegasus-pytorch Fork of renmada/t5-pegasus-pytorch

追一科技开源的t5-pegasus的Pytorch实现

Language: Python - Size: 270 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 1

kenilc/finetune4textgen

A python script to fine-tune pre-trained models for text generation

Language: Python - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

RobinSmits/FakeNews-Generator-And-Detector

Train a T5 model to generate simple Fake News and use a RoBERTa model to classify what's fake and what's real.

Language: Jupyter Notebook - Size: 31.4 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 2

MAGICS-LAB/SMUTF Fork of fireindark707/Python-Schema-Matching

[Information System] SMUTF: Schema Matching Using Generative Tags and Hybrid Features

Language: Python - Size: 21.1 MB - Last synced at: 1 day ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 2

Yassin522/English-Grammar-Error-Correction

The project focuses on leveraging state-of-the-art natural language processing techniques, including the T5 model and a custom Encoder-Decoder architecture, to automatically detect and correct grammatical errors in written English text.

Language: Jupyter Notebook - Size: 2.42 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

A-V-Jagannathan/Text-Summarizers

TF-IDF based Extractive & BERT based Abstractive text summarizer with an Interactive GUI for ease of use.

Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

alankabisov/youtube-video-summary

Creates summary for YouTube video based on subtitles

Language: Python - Size: 7.81 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

farazkh80/SearchEngine

A Searching and Summarizing Engine leveraging a custom-built search engine for news keyword searching, and a pre-trained transformers-based T5 Model, fine-tuned on news text and summary data to achieve state-of-the-art results on text summarization

Language: Python - Size: 110 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

prakhargurawa/Question-Paraphrasing-System

The task is to generate paraphrased questions, that is questions that have the same meaning but are different in terms of the vocabulary and grammar of the sentence The training data is derived from the Datasets of Paraphrased SQuAD Questions and consists of 1,118 paraphrased questions. The evaluation consists of 100 questions also derived from the Stanford Question Answering Dataset

Language: Jupyter Notebook - Size: 22.3 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

zeyadusf/Finetuning-LLMs

Finetuning Large Language Models

Size: 28.3 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

ltd-ARYAN-pvt/SummarizerX.AI

Welcome to our Summarizer App! This tool is designed to help you efficiently condense lengthy articles and text into concise summaries, making it easier for you to grasp the main points without spending too much time reading.

Language: Python - Size: 435 KB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

Pavansomisetty21/Unified-Language-Processing-with-ERNIE-T5-and-Pegasus

In this we explore the large language models like Pegasus ,ERNIE and T5 Large

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 17 days ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

len-sla/NLP_mBART_mT5_translation

mBart50 multilanguage translation plus docker image, English to german translator local/server using T5 model and german to polish english to spanish MarianMT transformer for file translations.

Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 1

Beenaa99/LLM-Prompt-Recovery

ECE-5424 Advanced Machine Learning Final Project - LLM Prompt Recovery task

Size: 5.86 KB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

trinhtuanvubk/Paraphrasing-Generation-T5

Training paraphasing using huggingface T5

Language: Python - Size: 22.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

zanuura/Indonesian-LocalX-Machine-Translation

Experiment Machine Translation for 10 Indonesian Local Languages.

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Binh707/Seq2Seq-to-TorchScript

This repository contains scripts to export T5 model to torchscript or onnx.

Language: Python - Size: 42 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

afogarty85/applied_nlp_demos

Language: Python - Size: 10.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

RFLeijenaar/NLP-Explanations-for-NLI

Fine-tuning and evaluation of a language model for explanation generation of natural language inference. Fine-tuning scripts for a pre-trained T5 model supporting both full model fine-tuning as well as LoRA are included in this repository.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

zekaouinoureddine/Summarization-T5

Extract the most important paragraph from news articles (Abstractive summarization for now)

Language: Jupyter Notebook - Size: 552 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

ksgr5566/News-Headline-Generator

A news headline generator finetuned on T5-base.

Language: Jupyter Notebook - Size: 6.99 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

ambideXtrous9/Text-Summarization-using-T5

Text Summarization using Pre-Trained T5 on News Dataset

Language: Jupyter Notebook - Size: 4.69 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

pedroandreou/MCQs-DistractorsGenerator-NLP

An end-to-end solution on how MCQs can be generated using T5 transformer model, word embeddings and decoding strategies

Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

tsimafeip/mt5-lang-detect

Fine-Tuning the Multilingual Text-To-Text Transfer Transformer (MT5) for Predicting The Language Of The Given Text

Language: Jupyter Notebook - Size: 7.37 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 2

azizbarank/Czech-T5-Base-Model

This is the t5 base model for the Czech that is based on the smaller version of the google/mt5-base model. To make this model, I retained only the Czech and some of the English embeddings from the original multilingual model.

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: 11 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

Khamies/T5-Fine-tune-Wikihow-XSum

This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.

Language: Python - Size: 2.51 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

FawziElNaggar/Question-MCQ-_Answer_Generation

Building this project to generate MCQ Questions from any type of text and generate answers and distractors for it.

Language: Python - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

ilanasebag/Adversarial-Conversational-Shaping

This repository contains the final group project my team and I worked on for the COMP0087 module (UCL).

Language: Jupyter Notebook - Size: 42.7 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

devyansh22156/Mental-Health-Utterance-Prediction

This repository implements a Retrieval-Augmented Generation (RAG) pipeline using a fine-tuned FLAN-T5 model to predict supportive mental health utterances based on user input. The core logic and experiments are contained in `main.ipynb`.

Language: Jupyter Notebook - Size: 138 KB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

AmirHosseinSoleymani/Text-Summarization-with-HuggingFace

This repository demonstrates how to use Hugging Face Transformers for text summarization. We focus on two state-of-the-art models: BART (facebook/bart-large-cnn) T5 (t5-large) Both models are designed for sequence-to-sequence tasks, making them ideal for text summarization.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

BhawnaMehbubani/Headline_Generation_and_Summarization_of_News_Articles_with_T5_and_XSum_Dataset

This project implements a headline summarization pipeline using the T5 transformer model fine-tuned on the XSum dataset. It provides a user-friendly interface using Gradio to generate concise summaries for long headlines or paragraphs. The project showcases end-to-end machine learning capabilities, from preprocessing and fine-tuning to deployment

Language: Jupyter Notebook - Size: 458 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

SreeEswaran/Text-Generation-using-T5

This project demonstrates the use of Transformers for text generation using the T5 model. The project includes the necessary code for training the model on a custom dataset and generating new text.

Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Navya0203/Abstractive-Text-Summarization-Using-RNN-and-Transformers

This repository contains implementations of abstractive text summarization using RNN ,RNN with Reinforcement learning and Transformer architectures.

Language: Jupyter Notebook - Size: 7.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

Geo-y20/Object-detection-and-text-to-speech

Text-to-Speech (TTS) project using Microsoft's SpeechT5 model and a YOLO Object Detector project using the YOLOv5 model.

Language: Jupyter Notebook - Size: 353 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

doruq-IT/Word-Document-Summarizer-and-Question-Answerer

Effortlessly summarize Word and PDF documents with the Word Document Summarizer. This Python application utilizes advanced Natural Language Processing (NLP) techniques to simplify document management. Quickly generate concise summaries and even ask questions about the content. Streamline your document workflow with ease.

Language: Jupyter Notebook - Size: 113 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

dhaneshragu/Text2Fillups

Web-based application that generates questions and answers from a given text using Machine Learning (ML). The app will then generate a Google Quiz link containing the questions, which can be easily shared with others for interactive learning. 📚💡

Language: Jupyter Notebook - Size: 3.6 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

svjack/Context2Dialogue

A Dialogue Context Generator based on Text or Image

Language: Python - Size: 1.95 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

SiavashShams/Contextual-Embeddings-Using-HateBert-and-RNNs

We aim to clasify tweets based on three categories 0: hate, 1: offensive, 2: neutral. For this purpose we use HateBert pretrained model with RNNs as the trainable layers

Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

bernardoleite/question-answering-t5-pytorch-lightning

Question Answering for English and Portuguese, using the T5 model, Transformers and Pytorch lightning. Training, inference and evaluation scripts included.

Language: Python - Size: 11.6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

Hitbee-dev/Phoenix Fork of SKT-Phoenix/Phoenix

README.md

Language: Jupyter Notebook - Size: 328 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

heydarimo/Contextual-Embedding-Using-RNNs

Contextual embeddings assign each word a representation based on its context, thereby capturing uses of words across varied contexts and encoding knowledge that transfers across languages. in this repository we tend to implement this concept using Recurrent Neural Networks.

Language: Jupyter Notebook - Size: 4.71 MB - Last synced at: 9 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

vijananish/title-summary-generation

This project is regarding generating the title and summary from the input paragraph. In this we have used T-5 Model which is text to text generation model.

Language: Python - Size: 3.97 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

nabojyoti/Research-Paper-Abstract-Generator

Generating abstract of research papers

Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

dipesg/Question-and-Answer

Question answering system that can take a user input and return a answer from user inputted text.:smile:

Language: Jupyter Notebook - Size: 35.9 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

R-aryan/Text-Summarization-Using-T5

perfroming abstractive text summariztion task using T5, and serving it via REST API

Language: Python - Size: 21 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

hrshtv/topic2poem

End-to-End Conditional Poetry Generation

Language: Jupyter Notebook - Size: 701 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

ergonomech/Art-Style-Fusion-Prompt-Enginner

Art Style Fusion Prompt Engineering is a Gradio app that blends art styles, descriptions, and artist recommendations into prompts for T5 text encoders (Tested Heavily with Flux)

Language: Python - Size: 3.65 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

LumenVestige/Json2DSLFormatModel

Fine-tuned from the T5 model, this project parses complex JSON structures and converts them into a Vue-like template DSL

Language: Python - Size: 1.98 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

gkdey17cse/ClaimNormalization

Claim normalization using T5 and BART models on social media posts, with complete preprocessing, training, and evaluation using BLEU, ROUGE, and BERTScore.

Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

anastasija0/NLP-for-spellchecking

Language: Jupyter Notebook - Size: 229 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

trohith89/FineTuning-T5-Summarization

This is a T5 Fine-Tuning Task for Text Summarization

Language: Jupyter Notebook - Size: 26.4 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

abdoashraf952/Real-Time-Arabic-SOS-Assistant

A real-time Arabic voice assistant built using FastAPI, AraT5 (transformer model), speech recognition, and text-to-speech (gTTS). It listens to Arabic speech, understands it using a fine-tuned NLP model, responds intelligently, and speaks the reply.

Language: Jupyter Notebook - Size: 85 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

sharansudheer/meeting_minutes_bot

A Document Summarisation Bot, A Web App, An API Tool for Summarising Meeting Minutes and an Interactive ChatBot. The Open Source Version.

Language: Python - Size: 21.5 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

Digvijay2347/TransformerBasedYTTranscriptProcessor

Summarize YouTube videos by extracting their transcripts and generating concise summaries using natural language processing.

Language: Python - Size: 16.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

arifazim/MCP_Document_Classifer

An intelligent document processing system that uses the Model Context Protocol (MCP) to extract, analyze, and route business documents automatically

Language: Python - Size: 479 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ahmedsamir45/NLP-Project

NLP projects

Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 1

aidausmanova/commonsense_qa

Data and code for paper "Reporting and Analysing the Environmental Impact of Language Models on the Example of Question Answering with External Knowledge"

Language: Python - Size: 31.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Snigdho8869/Text-Summarization-with-Transformers

A collection of text summarization projects using ensemble methods and T5 model.

Language: Jupyter Notebook - Size: 189 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sorawithwetubon/pypagesummarizer

A Python library to summarize the main content of a webpage using Google T5 AI model.

Language: Python - Size: 3.91 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

aminezouari52/pdf-to-questions

A web interface that takes a pdf file as an input and generates a questions based on the pdf file.

Language: TypeScript - Size: 139 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jra333/Automapper

A business specific use case leveraging a LLM (T5) to automate data mapping.

Language: Jupyter Notebook - Size: 434 KB - Last synced at: 5 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

QpxDesign/quail-api

As seen in TREC 2023, A QA-First, Hallucination-Lite, Multi-LM Summarizer

Language: Python - Size: 19.5 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

NJUxlj/t5-model-reproduce

Reproduce google's T5 model: "Text-to-Text Transfer Transformer"

Size: 1.95 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

das-amlan/VibeCheck---Text-Summarizer-Sentiment-Analyzer

VibeCheck is a natural language processing application designed to summarize text and analyze its sentiment.

Language: Python - Size: 102 KB - Last synced at: 22 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

martinp95/text_summarization_with_T5ForConditionalGeneration

The Text Summarization Project aims to develop an abstractive summarization model using the T5 architecture, fine-tuned on the California state bill subset of the BillSum dataset. The primary goal is to create a tool that can efficiently summarize lengthy texts from newsletters and other sources, providing concise and informative summaries.

Language: Python - Size: 454 KB - Last synced at: 10 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

abhash-rai/E-Commerce-LLM-Based-Recommendation-System

This project develops an e-commerce recommendation system using FastAPI, SQLModel for database management, and Qdrant for storing product embeddings. Google FLAN-T5 is fine-tuned on training data generated from project database itself to generate personalized recommendations and adapt over time.

Language: Jupyter Notebook - Size: 377 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0