559 Open source projects that are alternatives of or similar to gpl

Text classification with Sparse Composite Document Vectors.

A dockerized flask API, serving ALBERT and BERT predictions using TensorFlow 2.0.

Kex is a python library for unsupervised keyword extraction from a document, providing an easy interface and benchmarks on 15 public datasets.

[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

HDLTex: Hierarchical Deep Learning for Text Classification

Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

中文wiki百科QA阅读理解问答系统，使用了CCKS2016数据的NER模型和CMRC2018的阅读理解模型，还有W2V词向量搜索,使用torchserve部署

NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.

Naver movie review sentiment classification with KoBERT

Progressively Pretrained Dense Corpus Index for Open-Domain QA and Information Retrieval

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

A collection of research on knowledge graphs

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

No description or website provided.

Mengzi Pretrained Models

An Open-Source Package for Information Retrieval.

Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"

A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).

Notes on Deep Reinforcement Learning for Natural Language Processing papers

Website for "A survey of learning to hash for Computer Vision" https://learning2hash.github.io

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

📖 Korean NLU Benchmark

A simple tutorial of Lucene for LIS 501 Introduction to Text Mining students at the University of Wisconsin-Madison (Fall 2021).

本NER项目包含多个中文数据集，模型采用BiLSTM+CRF、BERT+Softmax、BERT+Cascade、BERT+WOL等，最后用TFServing进行模型部署，线上推理和线下推理。

Solutions of the various test exams of the Information Retrieval course

bert sentiment analysis tensorflow serving with RESTful API

No description or website provided.

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Dice.com's relevancy feedback solr plugin created by Simon Hughes (Dice). Contains request handlers for doing MLT style recommendations, conceptual search, semantic search and personalized search

Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

A keyphrase extractor for Persian

Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)

NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT

BERT Model Fine-tuning on Quora Questions Pairs

25,100 queries from the Paralex corpus (Fader et al., 2013) annotated with human ratings of whether they are well-formed natural language questions.

Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.

Simple NLP in Rust with Python bindings

Apache Lucene open-source search software

A neural named entity recognition and multi-type normalization tool for biomedical text mining

Augmented version of SQUAD 2.0 for Questions

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

Medical Q&A with Deep Language Models

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

A private nlp coding package, which quickly implements the SOTA solutions.

Hardware-accelerated vector-based search engine. Available as a HTTP service or as an embedded library.

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

Learning to Rank in TensorFlow

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

A text analytics library with support for codemixed data

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

Library - Vanilla, ViT, DeiT, BERT, GPT

A minimal pytorch package implementing a gradient reversal layer.

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

A library of inverted index data structures

CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers