169 Open source projects that are alternatives of or similar to nlp_newsletter

My GitHub blog: things you might be interested, and probably not...

Language Identification Toolkit

An Open-Source Framework for Prompt-Learning.

NLP Classification Workshop

Kaggle Competition: Using deep learning to solve quora's question pairs problem

WIP - A personal life helper providing solutions and happiness

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

📄 Complete collection of Urdu language characters & unicode code points.

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

Text preprocessing tools in python.

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

Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application

Presentation for IBM Community Day AI

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Code accompanying the CVPR 2019 paper: https://arxiv.org/abs/1812.04155

Projects and useful articles / links

A Python library to conjugate verbs in French, English, Spanish, Italian, Portuguese and Romanian (more soon) using Machine Learning techniques.

Internet Delivered Treatment using Adaptive Technology

Kex is a python library for unsupervised keyword extraction from a document, providing an easy interface and benchmarks on 15 public datasets.

Detect common phrases in large amounts of text using a data-driven approach. Size of discovered phrases can be arbitrary. Can be used in languages other than English

Interpretable Models for NLP using PyTorch

This is a smart Quiz Generator that generates a dynamic quiz from any uploaded text/PDF document using NLP. This can be used for self-analysis, question paper generation, and evaluation, thus reducing human effort.

The Centrifuge process, filter and saves the relevant documents as recommendations to the relevant users

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

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

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Intelligent Word Embeddings of Free-Text Radiology Reports

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

AQMAR Arabic Tagger: Sequence tagger with cost-augmented structured perceptron training

Uses Apache Lucene, OpenNLP and geonames and extracts locations from text and geocodes them.

An implementation of transformer-based language model for sentence rewriting tasks such as summarization, simplification, and grammatical error correction.

Do NLP without coding!

Question Answering System using BiDAF Model on SQuAD v2.0

👄 The most accurate natural language detection library for Go, suitable for long and short text alike

KNIME - Text Processing Extension (Labs)

Flask API to productize a document classification model. Classification model was built using Keras with tensorflow backend

CS224N 2019 Homeworks

Hu:toma AI is an open source stack designed to help you create compelling conversational interfaces with little effort and above industry accuracy

Conditional Sequence Generative Adversarial Network trained with policy gradient, Implementation in Tensorflow

Named-Entity-Recognition Workshop

ShortText classification

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Companion code for Introduction to Python for Data Science: Coding the Naive Bayes Algorithm evening workshop

Memes - why so popular?

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

Named entity recognition (NER) in Russian texts / Определение именованных сущностей (NER) в тексте на русском языке

Very deep CNN for text classification

A Deep-Learning multi-purpose chatbot made using Python3

Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset

Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

No description or website provided.

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

Compare six baseline deep learning models on TrecQA

Use-cases of Hugging Face's BERT (e.g. paraphrase generation, unsupervised extractive summarization).

Sentiment Analysis: Deep Bi-LSTM+attention model

自然语言处理常见任务（主要包括文本分类，序列标注，自动问答等）解决方案试验田

Embeddings: State-of-the-art Text Representations for Natural Language Processing tasks, an initial version of library focus on the Polish Language