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An open-source NLP research library, built on PyTorch.
Anomaly detection algorithm implementation in Python
Anomaly detection related books, papers, videos, and toolboxes
Anomaly Detection with R
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! 😀)
Code repository for Artificial Intelligence with Python, published by Packt
A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.
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
A curated list of awesome actions to use on GitHub
List of AI Residency Programs
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
The guide to tackle with the Text Summarization
List of tools & datasets for anomaly detection on time-series data.
Python implementations of the Boruta all-relevant feature selection method.
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
🎆 A visualization of the CapsNet layers to better understand how it works
chatbot_ner: Named Entity Recognition for chatbots.
Prediction of propensity to churn from the usage behavior using logistic regression.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
fast.ai Courses
Class notes for CS 131.
Data pre-processing utilities for Predictive Modelling
A Python tool that automatically cleans data sets and readies them for analysis.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.