Annotations of the interesting ML papers I read

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

Classification of medical texts to differentiate between human medical and veterinary subjects.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

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.

This study aims to investigate the effectiveness of three Transformers (BERT, RoBERTa, XLNet) in handling data sparsity and cold start problems in the recommender system. We present a Transformer-based hybrid recommender system that predicts missing ratings and ex- tracts semantic embeddings from user reviews to mitigate the issues.

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Text summarization using cosine similarity and XLNET for extractive & abstractive summarization techniques.

This repository houses three fine-tuned machine learning models for NLP tasks: Text Emotion Recognition, Sentiment Analysis, and Cyberbullying Detection.

Space Model framework that allows for maintaining generalizability, and enhances the performance on the downstream task by utilizing task-specific context attribution. It is an external LLM layer, that improves accuracy in classification task for multiple datasets, such as HateXplain, IMDB movies reviews and more.

NLP (Natural Language Processing)

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。

a novel hypernym discovery system based on XLNet, which outperformed baselines in SemEval tasks, highlighting expertise in innovative language models and ethical considerations in NLP.

Three transformer models for performing extractive summarization technique on news data

Hands on NLP and Computer Vision with Transformers

Exploring a collection of Jupyter notebooks showcasing a variety of Natural Language Processing (NLP) projects.

Fine-tuning Llama2-7b and other llms for categorising emails for Deutsche Bahn (German National Railways)