Stars
Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.
Data for Automatic Keyphrase Extraction Task
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
Some popular neural topic models with Pytorch Lightning.
Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Code for ACL2020 paper "Heterogeneous Graph Neural Networks for Extractive Document Summarization"
This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.
This is the official code for Extractive Summarization of Long Documents by Combining Global and Local Context
A fast, efficient universal vector embedding utility package.
A comprehensive list of books on Software Architecture.
A text classification example with Bert/ELMo/GloVe in pytorch
Pre-processing and in some cases downloading of datasets for the paper "Content Selection in Deep Learning Models of Summarization."
Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'
Training of Neural Network using Particle Swarm Optimization
A fast implementation of Particle Swarm Optimization using PyTorch in GPU
This program is an application of cat swarm optimization for Extractive Text summarization problem in python.
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
An open-source NLP research library, built on PyTorch.
An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarization" (https://arxiv.org/abs/1810.12343).
State-of-the-Art Text Embeddings
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Generates Unique (& Unicode) slugs in Django Edit Add topics
Multi-Task Deep Neural Networks for Natural Language Understanding
this repository accompanies the book "Grokking Deep Learning"