498 Open source projects that are alternatives of or similar to Hierarchical Multi Label Text Classification

End-to-end ASR/LM implementation with PyTorch

Deep Learning Bootcamp

NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego

A deep text classifiers library.

About Muti-Label Text Classification Based on Neural Network.

Exploring attention weights in transformer-based models with linguistic knowledge.

A Python interface for Facebook fastText

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

BERT for Multitask Learning

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

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Natural language understanding library for chatbots with intent recognition and entity extraction.

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

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

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models

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

A list of data mining and machine learning papers that I implemented in 2019.

Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

Text classification meets word embeddings.

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Attention mechanism

📚 Text classification library with Keras

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

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

NLP Classification Workshop

BDCI2017-让AI当法官，决赛第四（4/415）https://www.datafountain.cn/competitions/277/details

Comparable documents miner: Arabic-English morphological analysis, text processing, n-gram features extraction, POS tagging, dictionary translation, documents alignment, corpus information, text classification, tf-idf computation, text similarity computation, html documents cleaning

A TensorFlow Implementation of the Transformer: Attention Is All You Need

Sarcasm Detection for Sentiment Analysis

All kinds of neural text classifiers implemented by Keras

小时候练手的nlp项目

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

Semisupervided LDA for theory-driven text analysis

bert on Jigsaw Unintended Bias in Toxicity Classification

Pipeline for fast building text classification TF-IDF + LogReg baselines.

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Keras Implementation of Aspect based Sentiment Analysis

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

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

Attention,Factorization Machine, Deep Learning, Recommender System

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Implementation of Axial attention - attending to multi-dimensional data efficiently

CNN for intent classification task in a Chatbot

Natural Language Processing Best Practices & Examples

🎬 Video Captioning: ICCV '15 paper implementation

attention mechanism in keras, like Dense and RNN...

嵌入Word2vec词向量的CNN中文文本分类

Educational material on using the TensorFlow Estimator framework for text classification

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

Kadot, the unsupervised natural language processing library.