335 Open source projects that are alternatives of or similar to pyner

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

Learning Named Entity Tagger from Domain-Specific Dictionary

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Deep neural models for core NLP tasks (Pytorch version)

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.

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

Sequence Labeling in Tensorflow

slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

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.

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.

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

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

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

A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.

Hierarchically-Refined Label Attention Network for Sequence Labeling

Chainer x TensorRT

ChainerCV: a Library for Deep Learning in Computer Vision

ChainerRL is a deep reinforcement learning library built on top of Chainer.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

SegNet implementation & experiments in Chainer

Chainer implementation of Pose Proposal Networks

ResNet benchmark by Keras(TensorFlow), Keras(MXNet), Chainer, PyTorch using Google Colab

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

Named Entity Recognition with RNN, implemented by Chainer

Code for Adversarial Training Methods for Semi-Supervised Text Classification

Setup and customize deep learning environment in seconds.

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

This is the implementation of the "Comicolorization: Semi-automatic Manga Colorization"

Python library to easily log experiments and parallelize hyperparameter search for neural networks

A flexible framework of neural networks for deep learning

A best practice for deep learning project template architecture.

Sandbox for training deep learning networks

Chainer implementation of Wasserstein GAN

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

CAUTION: This is not maintained anymore. Visit https://github.com/chainer-community/chainer-colab-notebook/

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)

Source code for SEKE 2020 paper "SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER"

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Resource scheduling and cluster management for AI

Add-on package for ONNX format support in Chainer

DeepPose implementation in Chainer

End-to-End Speech Processing Toolkit

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

Deep metric learning methods implemented in Chainer

Super Resolution of picture images using deep learning

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

A Chainer implementation of VQ-VAE.

Object Detection with Faster R-CNN in Chainer