264 Open source projects that are alternatives of or similar to phrase-at-scale

Open Source Contributor Index

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

CS224N 2019 Homeworks

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

Userscript that changes Clickbait headlines by headlines more honest to the news it links to.

PySpark phonetic and string matching algorithms

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

Collection of Databricks and Jupyter Notebooks

Automated NLP sentiment predictions- batteries included, or use your own data

Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟

Just a boilerplate for PySpark and Flask

A simple Flask website for all NLP tasks which includes Text Preprocessing, Keyword Extraction, Text Summarization etc. Created Date: 30 Jan 2019

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

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

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

Very deep CNN for text classification

KNIME - Text Processing Extension (Labs)

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.

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

PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2

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

Topic modelling on financial news with Natural Language Processing

NLP Classification Workshop

This is a further development of the kdnuggets article on fake news classification by George McIntyre

Simplified ETL process in Hadoop using Apache Spark. Has complete ETL pipeline for datalake. SparkSession extensions, DataFrame validation, Column extensions, SQL functions, and DataFrame transformations

Language Identification Toolkit

Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

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

ShortText classification

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

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

Question Answering System using BiDAF Model on SQuAD v2.0

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

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

Interpretable Models for NLP using PyTorch

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

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

Intelligent Word Embeddings of Free-Text Radiology Reports

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

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

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

Boilerplate for PySpark on Cloud Kubernetes

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"

ETL jobs for Firefox Telemetry

Counting Tweets Per User in Real-Time

Code for my presentation: Using PySpark to Process Boat Loads of Data

Automatic Text Summarization (English/Arabic).

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

Sentiment Analysis of a Twitter Topic with Spark Structured Streaming

This is a place to put s2i images and utilities for spark application builders for openshift

Real-world Spark pipelines examples

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

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

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

Text preprocessing tools in python.

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

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

Anovos - An Open Source Library for Scalable feature engineering Using Apache-Spark