Statistics for topic text-classification

💫 Industrial-strength Natural Language Processing (NLP) in Python

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

🦙 Integrating LLMs into structured NLP pipelines

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

An elegent pytorch implement of transformers

Gotcha GPT ensures the integrity of academic writing in universities and publishing houses due to advances in Artificial Intelligence (AI). It discriminates AI- and human-generated manuscripts (Englis...

Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.

对豆瓣影评进行文本分类情感分析，利用爬虫豆瓣爬取评论，进行数据清洗，分词，采用BERT、CNN、LSTM等模型进行训练，采用tensorboardX可视化训练过程，自然语言处理项目\A project for text classification, based on torch 1.7.1

A simple RoadMap to Natural Language Processing(NLP)

🦙 Integrating LLMs into structured NLP pipelines

💫 Industrial-strength Natural Language Processing (NLP) in Python

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

MTEB: Massive Text Embedding Benchmark

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Gotcha GPT ensures the integrity of academic writing in universities and publishing houses due to advances in Artificial Intelligence (AI). It discriminates AI- and human-generated manuscripts (Englis...

Gotcha GPT ensures the integrity of academic writing in universities and publishing houses due to advances in Artificial Intelligence (AI). It discriminates AI- and human-generated manuscripts (Englis...

Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.

Welcome to the "Top 100 Computer Vision Projects Idea for 2024" repository! This repository contains a curated list of computer vision project ideas that you can explore, implement, and experiment wit...

基于pytorch+bert的中文文本分类

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financia...

💫 Industrial-strength Natural Language Processing (NLP) in Python

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

MTEB: Massive Text Embedding Benchmark

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

搜索所有中文NLP数据集，附常用英文NLP数据集

Code for the paper "Modeling Text-Label Alignment for Hierarchical Text Classification" acepted in ECML PKDD 2024

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Fine-tuning of Flan-5T LLM for text classification

Welcome to the "Top 100 Computer Vision Projects Idea for 2024" repository! This repository contains a curated list of computer vision project ideas that you can explore, implement, and experiment wit...

Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.

Unattended Lightweight Text Classifiers with LLM Embeddings

Course materials for our "Getting Started with NLP and spaCy" course at Talk Python

Gotcha GPT ensures the integrity of academic writing in universities and publishing houses due to advances in Artificial Intelligence (AI). It discriminates AI- and human-generated manuscripts (Englis...

Code for the paper "Modeling Text-Label Alignment for Hierarchical Text Classification" acepted in ECML PKDD 2024

Fine-tuning Large Language Models (LLMs) for Text Classification Task

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

💫 Industrial-strength Natural Language Processing (NLP) in Python

MTEB: Massive Text Embedding Benchmark

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

搜索所有中文NLP数据集，附常用英文NLP数据集

RETVec is an efficient, multilingual, and adversarially-robust text vectorizer.

Unattended Lightweight Text Classifiers with LLM Embeddings

Course materials for our "Getting Started with NLP and spaCy" course at Talk Python

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) data...

A simple RoadMap to Natural Language Processing(NLP)