338 Open source projects that are alternatives of or similar to Gumbel-CRF

The SimNets Architecture's Implementation in Caffe

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

开源中文分词工具包，中文分词Web API，Lucene中文分词，中英文混合分词

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

Conditional out-of-distribution prediction

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

Chinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络，可能一体化的完成中文和英文分词，词性标注，实体识别。主要包括原始文本数据，数据转换,训练脚本,预训练模型,可用于序列标注研究.注意：唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%，词性标注准确率约为90%，实体标注（在本样本上）约为85%。

PyTorch implementation of normalizing flow models

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

Rust binding to crfsuite

A machine learning software for extracting information from scholarly documents

Generates new porn descriptions based on an edited dataset of xhamster video descriptions uploaded between 2007-2016.

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation

Building Virtual Reality Worlds using Three.js

Tensorflow-LSTM-CRF tool for Named Entity Recognizer

把李航老师《统计学习方法》的后几章的算法都用java实现了一遍，实现盒子与球的EM算法，扩展到去GMM训练，后来实现了HMM分词（实现了HMM分词的参数训练）和CRF分词（借用CRF++训练的参数模型），最后利用tensorFlow把BiLSTM+CRF实现了，然后为lucene包装了一个XinAnalyzer

reference pytorch code for named entity tagging

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

Official Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)

Empower Sequence Labeling with Task-Aware Language Model

中文NER的那些事儿

A python binding for crfsuite

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

LSTM-CRF in PyTorch

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

序列化标注工具，基于PyTorch实现BLSTM-CNN-CRF模型，CoNLL 2003 English NER测试集F1值为91.10%（word and char feature）。

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

自然语言处理工具Macropodus，基于Albert+BiLSTM+CRF深度学习网络架构，中文分词，词性标注，命名实体识别，新词发现，关键词，文本摘要，文本相似度，科学计算器，中文数字阿拉伯数字(罗马数字)转换，中文繁简转换，拼音转换。tookit(tool) of NLP，CWS(chinese word segnment)，POS(Part-Of-Speech Tagging)，NER(name entity recognition)，Find(new words discovery)，Keyword(keyword extraction)，Summarize(text summarization)，Sim(text similarity)，Calculate(scientific calculator)，Chi2num(chinese number to arabic number)

A list of resources about Text Style Transfer

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

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

Golang text generator for generate SEO texts

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。

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF implement in pyotrch

Entity recognition codes for "2019 Datagrand Cup: Text Information Extraction Challenge"

keras+bi-lstm+crf，中文命名实体识别

GROBID extension for identifying and normalizing physical quantities.

Easy to use NLP library built on PyTorch and TorchText

基于vue3 element plus的快速表单生成器

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

C++ based implementation of StatNLP framework

A frame-semantic parsing system based on a softmax-margin SegRNN.

A Dataset of German Legal Documents for Named Entity Recognition

Torch Implemention of ECCV'16 paper: Attribute2Image

Java interface for CRFsuite: http://www.chokkan.org/software/crfsuite/

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

crf-seg:用于生产环境的中文分词处理工具，可自定义语料、可自定义模型、架构清晰，分词效果好。java编写。

Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)

Conditional Random Fields as Recurrent Neural Networks (Tensorflow)

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

面向中文电子病历的命名实体识别

中文自然语言的实体抽取和意图识别（Natural Language Understanding），可选Bi-LSTM + CRF 或者 IDCNN + CRF

g2pC: A Context-aware Grapheme-to-Phoneme Conversion module for Chinese

TACL 2020: Syntax-Guided Controlled Generation of Paraphrases

Turn an innocent text into torturous hell