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named-entity-recognition-with-bidirectional-lstm-cnns

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

natural-language-processing-1

This repo contains my natural language processing projects including the use of neural language models for text generation based on Spinoza's works and a sentiment analysis "in reverse" applied to movie reviews.

nem-data

CLI for downloading Australian electricity grid data supplied by AEMO

neodash

NeoDash - Neo4j Dashboard Builder

neoway-brand-sentiment

Capstone Project: Detecting Sentiments of Food Brands from Yelp Reviews

ner-annotator

Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.

netron

Visualizer for neural network, deep learning, and machine learning models

network-analysis-made-simple

An introduction to network analysis and applied graph theory using Python and NetworkX

network-model-python

network-science-with-python-and-networkx-quick-start-guide

Network Science with Python and NetworkX Quick Start Guide, published by Packt

neural-networks-and-deep-learning

This is my assignment on Andrew Ng's course “neural networks and deep learning”

neuraxle

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

newspaper-articles-daily-crawler

An implementation to a Scrapy Web Crawler, that crawl article links from Newspapers websites on a daily basis. Mainly Arabic Written Websites

nips-ad-placement-challenge

The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)

nipype_tutorial

Learn Nipype with these tutorial notebooks - go here to see them online -->

nlp

:memo: This repository recorded my NLP journey.

nlp-pretrained-model

A collection of Natural language processing pre-trained models.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nlp-workshop

nlp_course

YSDA course in Natural Language Processing

nlpaug

Data augmentation for NLP

notebooker

Productionise your Jupyter Notebooks as easily as you wrote them.

notebooks

Sample Notebooks for PipelineAI

notebooks-1

A repo for shared notebooks

one_shot_pytorch

onnx_transformers

Accelerated NLP pipelines for fast inference on CPU. Built with Transformers and ONNX runtime.

optimalflow

OptimalFlow is an Omni-ensemble Automated Machine Learning toolkit to help data scientists building optimal models in an easy way, and automate Machine Learning workflow with simple code.

optimization-python

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python