Topic: "bart"
bytedance/lightseq
LightSeq: A High Performance Library for Sequence Processing and Generation
Language: C++ - Size: 11.9 MB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 3,274 - Forks: 331
dbiir/UER-py
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Language: Python - Size: 50.5 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 3,064 - Forks: 522
guillaume-be/rust-bert
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Language: Rust - Size: 4.07 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 2,845 - Forks: 226
nlpodyssey/spago
Self-contained Machine Learning and Natural Language Processing library in Go
Language: Go - Size: 19.5 MB - Last synced at: 5 days ago - Pushed at: about 2 months ago - Stars: 1,797 - Forks: 89
Tencent/TencentPretrain
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
Language: Python - Size: 41.2 MB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 1,070 - Forks: 147
shibing624/textgen
TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型，实现了包括LLaMA，ChatGLM，BLOOM，GPT2，Seq2Seq，BART，T5，UDA等模型的训练和预测，开箱即用。
Language: Python - Size: 10.2 MB - Last synced at: 5 days ago - Pushed at: 9 months ago - Stars: 963 - Forks: 110
asahi417/lm-question-generation
Multilingual/multidomain question generation datasets, models, and python library for question generation.
Language: Python - Size: 86.4 MB - Last synced at: 3 days ago - Pushed at: 9 months ago - Stars: 351 - Forks: 38
nlpodyssey/cybertron
Cybertron: the home planet of the Transformers in Go
Language: Go - Size: 1.17 MB - Last synced at: 4 days ago - Pushed at: 12 months ago - Stars: 308 - Forks: 27
dpressel/mint
MinT: Minimal Transformer Library and Tutorials
Language: Python - Size: 123 KB - Last synced at: 19 days ago - Pushed at: almost 3 years ago - Stars: 254 - Forks: 14
sudharsan13296/Getting-Started-with-Google-BERT
Build and train state-of-the-art natural language processing models using BERT
Language: Jupyter Notebook - Size: 17 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 221 - Forks: 83
asahi417/lmppl
Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).
Language: Python - Size: 79.1 KB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 156 - Forks: 14
MikeWangWZHL/EEG-To-Text 📦
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
Language: Python - Size: 9.91 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 143 - Forks: 32
varunkumar-dev/TransformersDataAugmentation
Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper
Language: Python - Size: 824 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 127 - Forks: 23
shijx12/KQAPro_Baselines
Pytorch implementation of baseline models of KQA Pro, a large-scale dataset of complex question answering over knowledge base.
Language: Python - Size: 888 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 120 - Forks: 21
j-convey/BankTextCategorizer
Automated Categorization: Utilizing the power of neural networks, this project offers an automated solution to categorize bank descriptions, reducing manual effort and enhancing efficiency while maintaining privacy.
Language: Python - Size: 12.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 98 - Forks: 24
VinAIResearch/BARTpho
BARTpho: Pre-trained Sequence-to-Sequence Models for Vietnamese (INTERSPEECH 2022)
Size: 691 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 95 - Forks: 7
tanyuqian/progressive-generation
NAACL 2021 - Progressive Generation of Long Text
Language: Python - Size: 82 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 81 - Forks: 14
vipulraheja/iterater
Official implementation of the paper "IteraTeR: Understanding Iterative Revision from Human-Written Text" (ACL 2022)
Language: Python - Size: 18.3 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 76 - Forks: 8
Junpliu/ConDigSum
Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"
Language: Python - Size: 3.35 MB - Last synced at: 11 months ago - Pushed at: about 3 years ago - Stars: 72 - Forks: 14
IndoNLP/indonlg
The first-ever vast natural language generation benchmark for Indonesian, Sundanese, and Javanese. We provide multiple downstream tasks, pre-trained IndoGPT and IndoBART models, and a starter code! (EMNLP 2021)
Language: Python - Size: 4.64 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 70 - Forks: 12
HHousen/DocSum
A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
Language: Python - Size: 114 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 63 - Forks: 13
aj-naik/Text-Summarization
Abstractive and Extractive Text summarization using Transformers.
Language: Jupyter Notebook - Size: 163 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 58 - Forks: 8
ayaka14732/TrAVis
TrAVis: Visualise BERT attention in your browser
Language: Python - Size: 1.56 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 58 - Forks: 4
pkchat-focus/FoCus
Source codes and dataset of Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge
Language: Python - Size: 625 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 53 - Forks: 7
amazon-science/transformers-data-augmentation
Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper
Language: Python - Size: 820 KB - Last synced at: 24 days ago - Pushed at: almost 2 years ago - Stars: 52 - Forks: 7
ayaka14732/TransCan
An English-to-Cantonese machine translation model
Language: Python - Size: 629 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 49 - Forks: 11
vdorie/stan4bart
Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree (BART) components.
Language: C++ - Size: 7.22 MB - Last synced at: 8 days ago - Pushed at: 9 months ago - Stars: 42 - Forks: 4
StochasticTree/stochtree
Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
Language: C++ - Size: 40.9 MB - Last synced at: 18 days ago - Pushed at: 19 days ago - Stars: 39 - Forks: 11
thu-coai/JointGT
Codes for our paper "JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs" (ACL 2021 Findings)
Language: Python - Size: 11 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 39 - Forks: 5
cosmoquester/transformers-bart-pretrain
Script to pre-train hugginface transformers BART with Tensorflow 2
Language: Python - Size: 1.43 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 33 - Forks: 6
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: about 2 years ago - Pushed at: over 2 years ago - Stars: 32 - Forks: 2
bmd1905/vietnamese-correction
A project improves the quality and accuracy of the Vietnamese language.
Language: Jupyter Notebook - Size: 112 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 30 - Forks: 11
ayaka14732/bart-base-jax
JAX implementation of the bart-base model
Language: Python - Size: 3.15 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 30 - Forks: 4
laihuiyuan/pre-trained-formality-transfer
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer (ACL 2021)
Language: Python - Size: 330 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 4
priism-center/thinkCausal_dev
Point-and-click bartCause analysis and causal inference education
Language: R - Size: 50.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 25 - Forks: 3
ImKeTT/PCAE
[KBS] PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation PyTorch Implementation
Language: Python - Size: 520 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 25 - Forks: 1
nsi319/Finetune-Transformers
Abstractive text summarization by fine-tuning seq2seq models.
Language: Python - Size: 2.53 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 9
Tixierae/OrangeSum
The French summarization dataset introduced in "BARThez: a Skilled Pretrained French Sequence-to-Sequence Model".
Language: Jupyter Notebook - Size: 223 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 22 - Forks: 2
Seoneun/KoBART-Question-Generation
KorQuAD Korean domain Question Generation module based on KoBART
Language: Python - Size: 1.06 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 1
MoleculeTransformers/smiles-featurizers
Extract Molecular SMILES embeddings from language models pre-trained with various objectives architectures.
Language: Python - Size: 39.1 KB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 1
huangxt39/BART_on_COVID_dialogue
Fine-tuning BART on COVID Dialogue Dataset
Language: Python - Size: 1.18 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 16 - Forks: 1
singhsidhukuldeep/Text-Summarizer
Comparing state of the art models for text summary generation
Language: Jupyter Notebook - Size: 113 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 6
pleonova/multi-label-summary-text
An application that summarizes and classifies long text using zero-shot transfer-learning hosted on Huggingface spaces.
Language: Python - Size: 540 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 12 - Forks: 5
sayarghoshroy/Summaformers
Code for our Paper, 'Summaformers @ LaySumm 20, LongSumm 20' at EMNLP 2020, Scholarly Document Processing Workshop
Language: Jupyter Notebook - Size: 93.9 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 2
Gattocrucco/lsqfitgp
A general purpose Gaussian process regression module
Language: Python - Size: 124 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 11 - Forks: 0
CristianViorelPopa/BART-TL-topic-label-generation
Implementation and helper scripts for the BART-TL model - https://www.aclweb.org/anthology/2021.eacl-main.121/
Language: Python - Size: 72 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 11 - Forks: 6
brenns10/bart
BART fare reduction
Language: JavaScript - Size: 727 KB - Last synced at: 4 days ago - Pushed at: over 8 years ago - Stars: 11 - Forks: 0
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
AndyChiangSH/CDGP
Code for Findings of EMNLP 2022 short paper "CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model".
Language: Jupyter Notebook - Size: 102 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 2
ronan18/Arrival-IOS
The BART app for commuters, now native on iOS
Language: Swift - Size: 63.5 MB - Last synced at: 15 days ago - Pushed at: 3 months ago - Stars: 8 - Forks: 0
ukairia777/pytorch-nlp-tutorial
pytorch를 사용하여 텍스트 전처리부터, BERT, GPT와 같은 모델의 다운스트림 태스크들을 정리한 Deep Learning NLP 저장소입니다.
Language: Jupyter Notebook - Size: 50.3 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 8 - Forks: 2
MohanKrishnaGR/Infosys_Text-Summarization
This repository contains the implementation of a Transformer-based model for abstractive text summarization and a rule-based approach for extractive text summarization.
Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 2
taishan1994/genius_for_your_data
使用GENIUS文本生成模型训练自己的数据集。
Language: Python - Size: 4.28 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1
ayaka14732/bart-base-cantonese
The pre-trained Cantonese BART model
Language: Python - Size: 262 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 0
UKPLab/acl2021-metaphor-generation-conceptual
This repository is for the paper Metaphor Generation with Conceptual Mappings (ACL 2021).
Language: Python - Size: 106 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2
SpectureRam/text-summarization
A Python application that generates concise summaries of text using the BART model. With an interactive Streamlit interface, users can input text and choose from various summarization styles—Normal, Precise, or Accurate—to quickly obtain a tailored summary.
Language: Python - Size: 4.88 KB - Last synced at: 20 days ago - Pushed at: 9 months ago - Stars: 7 - Forks: 0
shubham5027/Text-Summarizer-using-LLM-and-Transformers
This project is a Text Summarizer that utilizes Transformers, a state-of-the-art natural language processing (NLP) library. The Text Summarizer is capable of generating concise summaries of input text using pre-trained transformer models.
Language: Python - Size: 4.88 KB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0
psunlpgroup/FaMeSumm
[EMNLP 2023] FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization. Support BART, PEGASUS, T5, mT5, BioBART, etc.
Language: Python - Size: 543 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0
forestry-labs/distillML
An R package providing functions for interpreting and distilling machine learning models
Language: R - Size: 9.76 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 2
noncombatant/lastbart
Web site to display the departure time for the last BART train of the evening.
Language: Python - Size: 35.2 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1
rogerkibbe/bixby_bart_commuter
Sample Bixby Capsule - BART Schedule
Language: JavaScript - Size: 43.9 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 3
simonprickett/bartnodeapi
BART JSON API using Node and Express.
Language: JavaScript - Size: 46.9 KB - Last synced at: 7 months ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 2
huseyincenik/nlp_natural_language_processing
NLP (Natural Language Processing)
Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 6 - Forks: 1
KimJaehee0725/YoYAK
[제 13회 투빅스 컨퍼런스] YoYAK - Yes or Yes, Attention with gap-sentence for Korean long sequence
Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 6
aaroncohen/barttraffic
A visualization tool for the BART API, that shows delays as 'traffic'.
Language: JavaScript - Size: 2.4 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 0
pradeepdev-1995/Text-summarization-natural-language-processing
Text summarization refers to the technique of shortening long pieces of text. The intention is to create a coherent and fluent summary having only the main points outlined in the document. Automatic text summarization is a common problem in machine learning and natural language processing (NLP).Text summarization is the problem of creating a short, accurate, and fluent summary of a longer text document. Automatic text summarization methods are greatly needed to address the ever-growing amount of text data available online to both better help discover relevant information and to consume relevant information faster.
Language: Jupyter Notebook - Size: 19.5 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 4
aniass/text-summarizer
Text summarization based on extractive and abstractive methods by using python.
Language: Jupyter Notebook - Size: 56.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 1
LuluW8071/ASR-with-Speech-Sentiment-and-Text-Summarizer
Automatic Speech Recognition using Conformer with Speech Sentiment Analysis & Text Summarizer
Language: Python - Size: 27 MB - Last synced at: 27 days ago - Pushed at: 6 months ago - Stars: 5 - Forks: 3
RS2002/PianoBart
Official Repository for The Paper, PianoBART: Symbolic Piano Music Understanding and Generating with Large-Scale Pre-Training
Language: SCSS - Size: 472 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 5 - Forks: 4
alexvishnevskiy/Huawei-project
Summarization task
Language: Jupyter Notebook - Size: 7.73 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0
jaketae/auto-tagger
Fine-tuning and zero-shot learning with transformers to automatically tag my study blog posts
Language: Python - Size: 2.29 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1
BrightBlueCheese/transformers_and_chemistry
The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA
Language: Jupyter Notebook - Size: 414 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 4 - Forks: 1
AlinaMustaqeem/open-LLM
Kickstart with LLMs
Language: Jupyter Notebook - Size: 32.2 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0
Tuhin-SnapD/Text-Summarization-Models
This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.
Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 3
brucewlee/prompt-learning-readability
[EACL 2023] use text-to-text models (BART, T5) for readability assessment
Language: Python - Size: 7.31 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 2
kunal-bhadra/Summarize-Text-Video-Transformers
Summarizing YouTube Video Transcripts & Blog Posts with HuggingFace Transformers.
Language: Jupyter Notebook - Size: 82 KB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
maks5507/elsa
ELSA combines extractive and abstractive approaches to the automatic text summarization
Language: Python - Size: 29.1 MB - Last synced at: 7 months ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0
luca-bajardi/Conditional_Text_Generation
The main problem of conditional text generation is that it is mainly based on the content of an input set of examples: this leads to little diversification of the generated text. To overcome this shortcoming, we have fine tuned CTRL using three different datasets. The first model has been used as a baseline for comparison, while the other two have been used to obtain more formal and informal text. The BART model has been employed for text classification to gauge formality.
Language: Python - Size: 102 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1
abhilash1910/NLP-Workshop-ML-India
NLP Workshop -ML India
Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1
ntphuc149/ViAG
ViAG: A Novel Framework for Fine-tuning Answer Generation models ultilizing Encoder-Decoder and Decoder-only Transformers's architecture
Language: Python - Size: 110 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 3 - Forks: 0
AjNavneet/BART-Text-Summarization
Abstractive text summarisation using BART model on articles data.
Language: Jupyter Notebook - Size: 52.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0
HSaurabh0919/CTransformers
Implementing wide variety of transformers, fine tuning as well as trying architectural variants from various research papers and blogs.
Language: Jupyter Notebook - Size: 20.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
CICLAB-Comillas/CallSum
CallSum is a project to summarize customer phone call conversations using AI and NLP techniques.
Language: Python - Size: 71.3 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1
VolkanSah/Web-Interface-for-Running-Python-Scripts
This repository provides a web interface for running various Python scripts via a PHP backend. It enables users to input prompts or commands through a web form and execute them using Python scripts, such as ChatGPT, Bard, or other useful Python scripts for developers. The results are then displayed back on the web interface.
Language: PHP - Size: 22.5 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1
kasnerz/lightnlg
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.
Language: Python - Size: 472 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
nannullna/EasyBART
Extractive/Abstractive summarY BART
Language: Python - Size: 142 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1
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: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0
AmbiTyga/Automated-Medical-Assistance
Paper: https://openreview.net/forum?id=jYV4ZXy0L5
Language: Python - Size: 17.6 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 2
crodriguez1a/bpe-summarizer
Auto summarization from BPE tokenization
Language: Jupyter Notebook - Size: 1.69 MB - Last synced at: 4 days ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1
RyanDsilva/bart-finetuning-ami
Finetuning the BART model on AMI Meetings Corpus
Language: Python - Size: 416 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0
silicontwin/arborist
The cross-platform app for efficiently performing Bayesian causal inference and supervised learning tasks using tree-based models, including BCF, BART, and XBART.
Language: Python - Size: 37.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0
Kabilduke/Text_Summarizer_BART
This project provides a web interface for uploading PDFs or entering text to generate a summarized output using the BiDirectional Auto Regressive Transformer (BART) model. The project is built using Flask for the backend and HTML, CSS, and JavaScript for the frontend
Language: HTML - Size: 786 KB - Last synced at: 7 months ago - Pushed at: 7 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: 6 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0
anna-kay/Reddit-summarization
Abstractive summarization of Reddit datasets with Transformers
Language: Jupyter Notebook - Size: 27.8 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0
SreeEswaran/Text-Summarization-using-BART
This project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective for text generation tasks such as summarization.
Language: Python - Size: 11.7 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0
Mechres/text-summarize
Flask-based API that provides a user-friendly interface to summarize text in any language supported by the BART model and then translate it to English.
Language: Python - Size: 10.7 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0
MohanKrishnaGR/Infosys_Springboard_Text-Summarization
GROUP 4. This repository contains the implementation of a Transformer-based model for abstractive text summarization and a rule-based approach for extractive text summarization.
Language: Jupyter Notebook - Size: 9.51 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1
Sharukesh3/LLM-for-hydrogen-storage
The LARGE LANGUAGE MODEL FOR HYDROGEN STORAGE project uses advanced natural language processing to improve research efficiency. It offers concise summaries and answers questions about hydrogen storage research papers, helping users quickly understand key insights and latest advancements.
Language: Jupyter Notebook - Size: 8.81 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 2
Beenaa99/LLM-Prompt-Recovery
ECE-5424 Advanced Machine Learning Final Project - LLM Prompt Recovery task
Size: 5.86 KB - Last synced at: 6 days ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0
priism-center/plotBart
R package to supplement bartCause and thinkCausal
Language: R - Size: 162 MB - Last synced at: 24 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0