316 Open source projects that are alternatives of or similar to WeSHClass

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories (ICDM'19)

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Very deep CNN for text classification

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WRENCH: Weak supeRvision bENCHmark

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a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.

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

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all kinds of baseline models for long text classificaiton( text categorization)

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X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

Implementation of ULMFit algorithm for text classification via transfer learning

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

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

Text Classification of Nepali Language Document. This Mini Project was done for the partial fulfillment of NLP Course : COMP 473.

The aim of this repository is to show a baseline model for text classification by implementing a LSTM-based model coded in PyTorch. In order to provide a better understanding of the model, it will be used a Tweets dataset provided by Kaggle.

Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)

📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.

Source code for the EMNLP 2020 paper "Cold-Start and Interpretability: Turning Regular Expressions intoTrainable Recurrent Neural Networks"

Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021

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NLP tutorial

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

The Official PyTorch Implementation of DiscoBox.

Graph-based framework for text classification

Automatically labeling training data

NLP in Python with Deep Learning

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

Weakly Supervised Dense Event Captioning in Videos, i.e. generating multiple sentence descriptions for a video in a weakly-supervised manner.

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

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

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Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

A Framework for Textual Entailment based Zero Shot text classification

基于scikit-learn实现对新浪新闻的文本分类，数据集为100w篇文档，总计10类，测试集与训练集1:1划分。分类算法采用SVM和Bayes，其中Bayes作为baseline。

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Text Classification through CNN, RNN & HAN using Keras

中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词-事件三元组抽取）