A repository for my Diploma Thesis; "Semantic communications framework with Transformer based models"

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.

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.

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

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.

Summarizing News Clusters using Kmeans and T5 model

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

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

Materials for "Linguistic Knowledge Can Enhance Encoder-Decoder Models (If You Let It)"

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

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

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

Python script for text summarization using the T5 model.

Forked version of https://github.com/alfazh123/ParaFaze with a State-of-the-Art of an over engineering :)

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。

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

Code and Assets for "Benchmarking and Improving Text-to-SQL Generation Under Ambiguity" (EMNLP 2023)

📚 Unearth the Core of Knowledge in Minutes 📓

This repository explores enhancing dialogue summarization with commonsense knowledge through the SICK framework, evaluating models on dialogue datasets to assess commonsense's impact on summarization quality.