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keyword-list-generator

Generate a list of keywords from any text.

lectures

Oxford Deep NLP 2017 course

lessons

📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!

machine-learning-examples

This repository contains various examples of machine learning workflows.

machine-learning-notebooks

Machine Learning notebooks for refreshing concepts.

machine_learning_examples

A collection of machine learning examples and tutorials.

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml4se

Seminar Group: Machine Learning for Software Engineering

ml_model_sop_foreign_ownership

STUDY PROJECT ON REGRESSION FOR EXTENT OF FOREIGN OWNERSHIP

my_interviewbit_soln

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

neuralcodecompletion

The implementation of the IJCAI 2018 paper: Code Completion with Neural Attention and Pointer Networks

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_basics

nlp_tutorials

open-source-events

Collection of Open Source Events and Hackathon's on a monthly basis. Contribute with us by just opening an issue or PR😉. For contribution in webpage please visit https://github.com/Catalyst-SMVD/OpenSourceEvents-Frontend

oxfordlectures_nlp

pigeonjs

Demonstration of the path-extraction process shown in the paper "A General Path-Based Representation for Predicting Program Properties"

pke

Python Keyphrase Extraction module

presumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

py-readability-metrics

📗 Score text readability using a number of formulas: Flesch-Kincaid Grade Level, Gunning Fog, ARI, Dale Chall, SMOG, and more

pycodesuggest

Learning to Auto-Complete using RNN Language Models

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorch-sentiment-analysis

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

rakun

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

semanticrank

Simple implementation of SemanticRank Algorithm

sematch

semantic similarity framework for knowledge graph

siamese_networks_face_recognition

Face Recognition Using Siamese Neural Networks based on paper Koch et al., "Siamese Neural Networks for One-shot Image Recognition"

simple-semantic-similarity-ranking

A rudimentary Implementation of a simple NN based Ranking Model.