pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，LLaMA等模型应用在纠错场景，开箱即用。

Solution for Kaggle's LLM prompt recovery.

Gateway into the John Snow Labs Ecosystem

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Open Source Modding Tools for old Call Of Duty games

Topic Embedding, Text Generation and Modeling using diffusion

Example application for the task of fine-tuning pretrained machine translation models on highly domain-specific, self-extracted translated sentences

Fine-Tuned LLM-Based FAQ Generation for University Admissions: A project involving the fine-tuning of state-of-the-art language models, including LLaMA-3 8b, LLaMA-2 7b, Mistral 7b, T5, and BART, leveraging QLoRA PEFT.

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。

Training environment for CyberClassic telegram bot

Transformers 3rd Edition

Code for paper "FairytaleQA Translated: Enabling Educational Question and Answer Generation in Less-Resourced Languages"

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.

KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction

This repository consists of the implementation of the paper "Automatic Ellipsis Reconstruction in Coordinated German Sentences based on Text-To-Text Transfer Transformers" which is accepted at 27th International Conference on Text, Speech and Dialogue.

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

Indonesian Question Answering and Question Generation using Transformers

Compilation of Localized Strings from Call of Duty games (English & Spanish).

[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference