1170 Open source projects that are alternatives of or similar to verseagility

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Chinese Question Classifier (Keras Implementation) on BQuLD

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Text2Text: Cross-lingual natural language processing and generation toolkit

A collection of research on knowledge graphs

Multilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)

Datasets I have created for scientific summarization, and a trained BertSum model

Source code for our "TitleStylist" paper at ACL 2020

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

PyTorch repository for text categorization and NER experiments in Turkish and English.

A package built on top of Hugging Face's transformer library that makes it easy to utilize state-of-the-art NLP models

Improving Machine Reading Comprehension with General Reading Strategies

The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

Official code repository for "Exploring Neural Models for Query-Focused Summarization".

[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

BERT for Multitask Learning

Abstractive summarisation using Bert as encoder and Transformer Decoder

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

ExpMRC: Explainability Evaluation for Machine Reading Comprehension

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

BERT-NER (nert-bert) with google bert https://github.com/google-research.

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Rank 1 / 216

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

Implementation of State-of-the-art Text Classification Models in Pytorch

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Papers and Book to look at when starting NLP 📚

搜索所有中文NLP数据集，附常用英文NLP数据集

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

reference tensorflow code for named entity tagging

Experiments with Hugging Face 🔬 🤗

KitanaQA: Adversarial training and data augmentation for neural question-answering models

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language

Deep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142

This project explores colors in various images and then enables the user to query the images based on a given color.

source code for 'Improving automatic source code summarization via deep reinforcement learning'

Neural Reranking for Named Entity Recognition, accepted as regular paper at RANLP 2017

No description or website provided.

A question answering system which utilises machine learning.

Few-shot learning framework for opinion summarization published at EMNLP 2020.

Classifying time series using feature extraction

Vita - Genetic Programming Framework

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

Kaggle Titanic example

Natural Language Processing notes and implementations.

Repository for anime characters recognition website, powered by TensorFlow

Source code for the NAACL 2019 paper "SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression"

Reusable, Easy-to-use Uncertainty module package built with Tensorflow, Keras

Production First and Production Ready End-to-End Speech Recognition Toolkit

ML algorithm for real-time classification

Relation Classification - SEMEVAL 2010 task 8 dataset

High-resolution breast cancer screening with multi-view deep convolutional neural networks