1140 Open source projects that are alternatives of or similar to Kadot

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

Arabic support for textblob

R wrapper for fastText

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

DELTA is a deep learning based natural language and speech processing platform.

R package for Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing Based on the UDPipe Natural Language Processing Toolkit

Evidence-based Explanation Dataset (AACL-IJCNLP 2020)

[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

A curated list of recent models of text generation and application

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Machine learning based text classification in JavaScript using n-grams and cosine similarity

A collection of basic python modules for spoken natural language processing

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Summarization Papers

Text Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.

NLP tutorial

Resources for learning about Text Mining and Natural Language Processing

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

💫 Industrial-strength Natural Language Processing (NLP) in Python

Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

Natural Language Processing Best Practices & Examples

A tool for learning vector representations of words and entities from Wikipedia

🔮Deep Learning for text made easy with AllenNLP

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Text classification with Sparse Composite Document Vectors.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

A fast, efficient universal vector embedding utility package.

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

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.

Fast and customizable text tokenization library with BPE and SentencePiece support

Accelerated deep learning R&D

Curated list of all NLP Resources

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.

A Dead Simple BERT API for Python and Java (https://github.com/google-research/bert)

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

Simple downloader for pre-trained word vectors

BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

👑 spaCy building blocks and visualizers for Streamlit apps

A Model for Natural Language Attack on Text Classification and Inference

Open Korean Text Processor - An Open-source Korean Text Processor

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

A collection of notebooks for Natural Language Processing from NLP Town

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

A Modern C++ Data Sciences Toolkit

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

The Python Code Tutorials

Naive Bayes text classification implementation as an OmniCat classifier strategy. (#ruby #naivebayes)

An algorithm to augment syntactic hierarchy into word embeddings

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

Automatic Generation of Brief Summaries of Time-Series Data

Pytorch implementation of "Graph Convolutional Networks for Text Classification"

A list of NLP(Natural Language Processing) tutorials

Thot toolkit for statistical machine translation

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

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

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

The greynir.is natural language processing website for Icelandic

Official Ruby client for the MonkeyLearn API. Build and consume machine learning models for language processing from your Ruby apps.

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