936 Open source projects that are alternatives of or similar to Text_and_Audio_classification_with_Bert

Serving a keras model (neural networks) in a website with the python Django-REST framework.

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

Natural Language Processing Best Practices & Examples

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

The Python Code Tutorials

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger

Ten Thousand German News Articles Dataset for Topic Classification

高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

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

Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules

Tensorflow based training and classification scripts for text, images, etc

A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transformers.

This is a java version of Chinese tokenization descried in BERT.

Natural language detection library for Rust. Try demo online: https://www.greyblake.com/whatlang/

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow

RMDL: Random Multimodel Deep Learning for Classification

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Matching Networks Tensorflow 2 Implementation for few-shot AD diagnosis

🗣️ Tool to generate adversarial text examples and test machine learning models against them

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

CNN-RNN中文文本分类，基于TensorFlow

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

pytorch实现bert做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持GPT2进行文章续写。

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

A Model for Natural Language Attack on Text Classification and Inference

TensorFlow installation wheels for Raspberry Pi 64 OS

a Deep Learning Framework for Text

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

🤗 ParsBERT Persian NER Tasks

Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

TensorFlow2+ graph image augmentation library optimized for tf.data.Dataset.

Convolutional Neural Network for Text Classification in Keras

Tensorflow2.3的文本分类项目，支持各种分类模型，支持相关tricks。

Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications

基于bert进行中文文本纠错

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

Kaggle Twitter Sentiment Analysis Competition

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

Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.

Fake News Detection in Python

This is the official implementation of TransCenter. The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.

this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large

Java interface for fastText

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

FedGroup, A Clustered Federated Learning framework based on Tensorflow

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Trained T5 and T5-large model for creating keywords from text

Sarcasm Detection for Sentiment Analysis

HDLTex: Hierarchical Deep Learning for Text Classification

Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3