979 Open source projects that are alternatives of or similar to ganbert-pytorch

Building 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.

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

All 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

Code for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

🤗 ParsBERT Persian NER Tasks

This repo contains a PyTorch implementation of a pretrained BERT model for text classification.

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

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.

DrFAQ is a plug-and-play question answering NLP chatbot that can be generally applied to any organisation's text corpora.

A PyTorch-based toolkit for natural language processing

Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

An implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.

PyTorch implementation of Adversarially Learned Inference (BiGAN).

Rank 1 / 216

Text Classification in Turkish Texts with Bert

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

BERT, LDA, and TFIDF based keyword extraction in Python

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Semisupervided LDA for theory-driven text analysis

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

State of the Art Natural Language Processing

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

Weakly supervised medical named entity classification

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Emotion recognition in conversation

Applied Deep Learning (2019 Spring) @ NTU

KAREN: Unifying Hatespeech Detection and Benchmarking

Semi-supervised GAN in "Improved Techniques for Training GANs"

This repo contains a PyTorch implementation of a pretrained ERNIE model for text classification.

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

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…

BTK Akademi -1 Milyon İstihdam Projesi için Merve Ayyüce Kızrak tarafından Hazırlanmıştır.

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Natural Language Processing for Lithuanian language

Tensorflow implement of "Eye In-Painting with Exemplar Generative Adversarial Networks"

Python script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.

국방 리스크 관리 플랫폼 (🏅 국방부장관상/Minister of National Defense Award)

2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛

Build a Movie Reviews Sentiment Classifier with Google's BERT Language Model

[AAAI 2021] TextWiser: Text Featurization Library

This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

参考NER，基于BERT的电商评论观点挖掘和情感分析

基于tensorflow1.x的预训练模型调用，支持单机多卡、梯度累积，XLA加速，混合精度。可灵活训练、验证、预测。

Code and Dataset for the Bhola et al. (2020) Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework

Official implementation of "Explicit Interaction Model towards Text Classification"

Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)

[Tutorial] Demystifying Natural Language Processing with Python