Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Tokenization, parsing, classical NLP pipelines, translation and information extraction.
Signals: nlp, natural-language-processing, tokenizer, named-entity-recognition, text-classification, machine-translation, sentiment-analysis, spacy
635 results
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 financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
🎯🗯 Dataset generation for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
A tool for learning vector representations of words and entities from Wikipedia
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.
Text classifier for Hierarchical Attention Networks for Document Classification
Natural language detection library for Rust. Try demo online: https://whatlang.org/
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
A list of NLP(Natural Language Processing) tutorials
Graph Convolutional Networks for Text Classification. AAAI 2019
🦙 Integrating LLMs into structured NLP pipelines
Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Data augmentation for NLP, presented at EMNLP 2019
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Text Classification Algorithms: A Survey
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Snips Python library to extract meaning from text
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
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