Python

CPython Internals: Paperback Now Available!

After almost two years of writing, reviewing, and testing, we’re delighted to announce that CPython Internals: Your Guide to the Python 3 Interpreter is now available in paperback! Are there certain parts of Python that just seem like magic? Once you see how Python works at the interpreter level, you’ll be able to optimize your applications and fully leverage the power of Python. In CPython Internals, you’ll unlock the inner workings of the Python language, learn how to compile the […]

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Data Science, NLP, Project, Python, Text

Natural Language Processing – Sentiment Analysis using LSTM

This article was published as a part of the Data Science Blogathon Introduction: This article aims to explain the concepts of Natural Language Processing and how to build a model using LSTM (Long Short Term Memory), a deep learning algorithm for performing sentiment analysis. Let’s first discuss Natural Language processing! Natural Language Processing: Natural Language Processing (NLP) is a subfield of Artificial Intelligence that deals with understanding and deriving insights from human languages such as text and speech. Some of the […]

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Advanced, NLP, Project, Python, Text, Unsupervised

Part 10: Step by Step Guide to Master NLP – Named Entity Recognition

This article was published as a part of the Data Science Blogathon Introduction This article is part of an ongoing blog series on Natural Language Processing (NLP). In the previous article, we discussed semantic analysis, which is a level of NLP tasks. In that article, we discussed the techniques of Semantic analysis in which we discussed one technique named entity extraction, which is very important to understand in NLP. So, In this article, we will deep dive into the entity extraction […]

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Server

Cloud Native sample microservices showcasing Full Stack Observability using AppDynamics and ThousandEyes

Cloud Native Sample Bookinfo App Observability Bookinfo is a sample application composed of four Microservices written in different languages. Application is originally created by as part of Istio project to demonstrate various Istio features, See https://istio.io/docs/examples/bookinfo/. Project extends this sample application to demonstrate observability of Cloud Native application using Cisco AppDynamics and ThousandEyes. Microservices code and docker images area extended to include respective AppDynamics agents that enables Application Performance Monitoring for these microservices. ThousandEyes Web App monitoring is also configured, […]

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Images

A python script to convert images to animated sus among us crewmate twerk jifs

img_sussifier A python script to convert images to animated sus among us crewmate twerk jifs as seen on r/196 Examples How to use install python pip install pillow numpy change input.png to your desired image optionally change output_width in sus.py (output height is calculated automagically) run sus.py upload sussified.gif to r/196 for free karma and also to kill the sus among meme fastermy discord is Lines#9260 send complaints / memes whatever (pls) GitHub https://github.com/LinesGuy/img_sussifier    

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Automation

A simple software for fetching new changes to remote repositories automatically

Git Autofetch Git Autofetch is a simple software for fetching new changes from a repo to local repositories after a set time interval. This program is responsible for checking the remote repo for changes and updating the local copy of the repo after a set delay (can be set in configs file later) INSTALLATION Clone this repo. cd into the repo Run the install.py. This is important to create important files, and create paths dynamically. run python3 install.py This will […]

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PyTorch

Unofficial PyTorch implementation of Neural Additive Models (NAM)

nam-pytorch Unofficial PyTorch implementation of Neural Additive Models (NAM) by Agarwal, et al. [abs, pdf] Installation You can access nam-pytorch via pip: $ pip install nam-pytorch Usage import torch from nam_pytorch import NAM nam = NAM( num_features=784, link_func=”sigmoid” ) images = torch.rand(32, 784) pred = nam(images) # [32, 1] GitHub https://github.com/rish-16/nam-pytorch    

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Visualization

Visualize Camera’s Pose Using Extrinsic Parameter by Plotting Pyramid Model on 3D Space

extrinsic2pyramid Visualize Camera’s Pose Using Extrinsic Parameter by Plotting Pyramid Model on 3D Space Intro A very simple and straightforward module for visualizing camera pose on 3D space. This module just have a only utility, as like its name, to convert extrinsic camera parameter(transform matrix) to visual 3D square pyramid, the pyramid’s vertex not on the base side(square) is the camera’s focal point and The optical axis passes through the focal point and the center of the base. Note that, […]

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Network

SANet: A Slice-Aware Network for Pulmonary Nodule Detection

SANet A Slice-Aware Network for Pulmonary Nodule Detection. This paper (SANet) has been accepted and early accessed in IEEE TPAMI 2021. This code and our data are licensed for non-commerical research purpose only. Introduction Lung cancer is the most common cause of cancer death worldwide. A timely diagnosis of the pulmonary nodules makes it possible to detect lung cancer in the early stage, and thoracic computed tomography (CT) provides a convenient way to diagnose nodules. However, it is hard even […]

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