704 Open source projects that are alternatives of or similar to Named Entity Recognition With Bidirectional Lstm Cnns

Augmenting word embeddings with their surrounding context using bidirectional RNN

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

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

DaNLP is a repository for Natural Language Processing resources for the Danish Language.

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

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Named-Entity Recognition in Persian Language

Code for ACL '19 paper: Towards Improving Neural Named Entity Recognition with Gazetteers

Named Entities Recognition Annotator Tool for Europeana Newspapers

A lightweight web-based annotation tool for labelling entity recognition data.

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

ADEL is a robust and efficient entity linking framework that is adaptive to text genres and language, entity types for the classification task and referent knowledge base for the linking task.

Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 2018

Keras implementation of a ResNet-CAM model

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)

Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.

Virtual Machine for Desktop Search with Open Semantic Search

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

Transition-based NER system

Notebooks for teaching Named Entity Recognition at the Cultural Heritage Data School, run by Cambridge Digital Humanities

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

[ACL-IJCNLP 2021] Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

Finetune ConvNets with Tensorflow

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

Thai Named Entity Recognition

Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture

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。

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Stanford Named Entity Recognizer (NER) - Python Wrapper

Word semantics Deep Learning with Vanilla Python, Keras, Theano, TensorFlow, PyTorch

🍘 単語分割を経由しない単語埋め込み 🍘

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Framework to learn Named Entity Recognition models without labelled data using weak supervision.

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

📖 Using deep learning and scraping to analyze/summarize articles! Just drop in any URL!

licence plate detection and recognition

A Named-Entity Recogniser based on Grobid.

stock predict by cnn and lstm

Azure Search Cognitive Skill to extract technical and business skills from text

📚 嵌入式系统基础知识与主流编程语言相关内容总结

Kervolution Library in PyTorch (CVPR 2019 Oral)

📍 🏢 🏦 🏣 🏪 🏬 LNEx: Location Name Extractor

Clinical Concept Extraction with Contextual Word Embedding

Named Entity Recognition for biomedical entities

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

MODS with external deep descriptors/detectors

Named-Entity-Recognition Workshop

Paper notes for Information Extraction, including Relation Extraction (RE), Named Entity Recognition (NER), Entity Linking (EL), Event Extraction (EE), Named Entity Disambiguation (NED).

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

A PyTorch-based toolkit for natural language processing

NER（命名实体识别）中文语料，一站式获取

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

Programs with word vectors, RNN, NLP stuff, etc