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allennlp

An open-source NLP research library, built on PyTorch.

anomaly-detection

Anomaly detection algorithm implementation in Python

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anomalydetection

Anomaly Detection with R

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

artificial-intelligence-with-python

Code repository for Artificial Intelligence with Python, published by Packt

aspect-based-sentiment-analysis

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

aspectbasedsentimentanalysis

Aspect Based Sentiment Analysis is a special type of sentiment analysis. In an explicit aspect, opinion is expressed on a target(opinion target), this aspect-polarity extraction is known as ABSA. Read more here: https://drive.google.com/file/d/0B7vJE8cREnn4SGxzWFNYUzg2VkE/view?usp=sharing

awesome-actions

A curated list of awesome actions to use on GitHub

awesome-ai-residency

List of AI Residency Programs

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-text-summarization

The guide to tackle with the Text Summarization

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

capsnet-visualization

🎆 A visualization of the CapsNet layers to better understand how it works

chatbot_ner

chatbot_ner: Named Entity Recognition for chatbots.

churn-analysis---telecom

Prediction of propensity to churn from the usage behavior using logistic regression.

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

courses

fast.ai Courses

credit-risk-analysis

cs131_notes

Class notes for CS 131.

data-preprocessing-python

Data pre-processing utilities for Predictive Modelling

data-preprocessing-python-1

datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

deep-learning

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deeplearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.