397 Open source projects that are alternatives of or similar to X-Transformer

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Text Classification in Turkish Texts with Bert

A PyTorch-based toolkit for natural language processing

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

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

Active Learning for Text Classification in Python

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

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

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…

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

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.

State of the Art Natural Language Processing

A Framework for Textual Entailment based Zero Shot text classification

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

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

Neural Relation Understanding: neural cardinality estimators for tabular data

KB국민은행에서 제공하는 경제/금융 도메인에 특화된 한국어 ALBERT 모델

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

汽车行业用户观点主题及情感识别

(TPAMI 2022) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

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

Language Modeling and Text Classification in Malayalam Language using ULMFiT

Library - Vanilla, ViT, DeiT, BERT, GPT

This repository contains code for the O'Reilly Live Online Training for BERT

Very deep CNN for text classification

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

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.

Code for Editing Factual Knowledge in Language Models

Implementation of papers for text classification task on SST-1/SST-2

Keras implementation of Character-level CNN for Text Classification

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

CLIP (Contrastive Language–Image Pre-training) for Italian

[AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"

Use custom tokenizers in spacy-transformers

Collection of NLP model explanations and accompanying analysis tools

NLP in Python with Deep Learning

Powerful 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

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

NLP tutorial

Using Transformers from HuggingFace in R

NLP with NLTK for Sentiment analysis amazon Products Reviews

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Indonesian twitter dataset for emotion classification task

Implementation of ULMFit algorithm for text classification via transfer learning

KoBERT on 🤗 Huggingface Transformers 🤗 (with Bug Fixed)

Easy, fast clustering of texts

A collection of Danish Transformers

Transformer/Transformer-XL/R-Transformer examples and explanations

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Must-read papers on Natural Language Processing (NLP)

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。

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

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

An NLP system for generating reading comprehension questions

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

Unofficial JAX implementations of deep learning research papers

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Hierarchical Attention Networks for document classification