429 Open source projects that are alternatives of or similar to Fox

Named-entity recognition for Ruby

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.

The tool for visualizing Swiss Open Government Data. Project ownership: Federal Office for the Environment FOEN

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

An open source library for deep learning end-to-end dialog systems and chatbots.

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

A fast and lightweight streaming RDFa parser for JavaScript

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

Deep and Machine Learning for Microscopy

命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新

NLP: Relation extraction with position-aware self-attention transformer

Content-addressed, authenticated, immutable data structures

subsemble R package for ensemble learning on subsets of data

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

A JSON-LD 1.1 Processor & API

基于深度学习的开源中文关系抽取框架

simple rule based named entity recognition

论文实现(ACL2019)：《Matching the Blanks: Distributional Similarity for Relation Learning》

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Streaming, transforming, SPARQL-based CSV to RDF converter. Apache license.

Linked Data Visualizations Across Multiple Files

A graph query language for the semantic web

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

Information extraction pipeline containing coreference resolution, named entity linking, and relationship extraction

Python wraper for MetaMap

A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.

中文实体关系抽取，pytorch，bilstm+attention

Document Enrichment plugin for Elasticsearch

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

A programmable relation extraction tool

基于Pytorch和torchtext的知识图谱深度学习框架。

No description or website provided.

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

kgpml.github.io/deep-vessel/

Deep neural network based model for sequence to sequence classification

Deep neural models for core NLP tasks (Pytorch version)

No description or website provided.

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)

EVE bot, a customer service chatbot to enhance virtual engagement for Twitter Apple Support

Elenco di ontologie e vocabolari controllati. Per maggiori informazioni, si veda il readme principale e quello di singoli vocabolari/ontologie, ove presente, e la seguente documentazione

Implementation of Nested Named Entity Recognition using BERT

Named Entity Recognition (NER) task using Bi-LSTM-CRF model implemented in Tensorflow 2.0(tensorflow2.0 +)

Official Stanford NLP Python Library for Many Human Languages

💪 🤔 Modern Super Learning with Machine Learning Pipelines

🕸 YALC: Yet Another LOD Cloud (registry of Linked Open Datasets).

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A command-line utility for extracting names of people, places, and organizations from text on macOS.

BERT for Multitask Learning

Named Entity Recognition (LSTM + CRF) - Tensorflow

Python module for Named Entity Recognition (NER) using natural language processing.