backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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Pytorch-NLUPytorch-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…
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policy-data-analyzerBuilding a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.
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TorchBlocksA PyTorch-based toolkit for natural language processing
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text2textText2Text: Cross-lingual natural language processing and generation toolkit
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text2classMulti-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
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Spark NlpState of the Art Natural Language Processing
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robo-vlnPytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"
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TF2DeepFloorplanTF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.
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word-embeddings-from-scratchCreating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.
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FastrtextR wrapper for fastText
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VdcnnImplementation of Very Deep Convolutional Neural Network for Text Classification
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question generatorAn NLP system for generating reading comprehension questions
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Ask2TransformersA Framework for Textual Entailment based Zero Shot text classification
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textgoText preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!
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gplPowerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577
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X-TransformerX-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification
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NSP-BERTThe code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"
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Product-Categorization-NLPMulti-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
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anonymisationAnonymization of legal cases (Fr) based on Flair embeddings
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Text-SummarizationAbstractive and Extractive Text summarization using Transformers.
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label-studio-transformersLabel data using HuggingFace's transformers and automatically get a prediction service
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Keras Textclassification中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
Stars: ✭ 914 (+2588.24%)
Eda nlpData augmentation for NLP, presented at EMNLP 2019
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bert-squeeze🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
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Nlp chinese corpus大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
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SimpletransformersTransformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
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KashgariKashgari 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.
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AiSpaceAiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0
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Wikipedia2vecA tool for learning vector representations of words and entities from Wikipedia
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oreilly-bert-nlpThis repository contains code for the O'Reilly Live Online Training for BERT
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SentimentAnalysis(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
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Multi Class Text Classification Cnn RnnClassify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
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Transformers-TutorialsThis repository contains demos I made with the Transformers library by HuggingFace.
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Kevinpro-NLP-demoAll NLP you Need Here. 个人实现了一些好玩的NLP demo,目前包含13个NLP应用的pytorch实现
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WSDM-Cup-2019[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.
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wechselCode for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
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troveWeakly supervised medical named entity classification
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classifier multi labelmulti-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification
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labml🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
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tttA package for fine-tuning Transformers with TPUs, written in Tensorflow2.0+
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tf-faster-rcnnTensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones
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ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
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gcnn kerasGraph convolution with tf.keras
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G-SimCLRThis is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.
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small-textActive Learning for Text Classification in Python
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Multi Class Text Classification CnnClassify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
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GLOM-TensorFlowAn attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
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