Monitoring

Splunk modular input plugin to fetch the enterprise audit log from GitHub Enterprise

GitHub Enterprise Audit Log Monitoring Splunk modular input plugin to fetch the enterprise audit log from GitHub Enterprise Support for modular inputs in Splunk Enterprise 5.0 and later enables you to add new types of inputs to Splunk Enterprise that are treated as native Splunk Enterprise inputs. This modular input makes an HTTPS request to the GitHub Enterprise’s Audit Log REST API endpoint at a definable interval to fetch audit log data. Prerequisites Splunk Heavy Forwarder v8.0+ Python 3.7+ GitHub […]

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AWS

A simple tool to check if an IP/hostname belongs to the AWS IP space or not

onaws onaws is a simple tool to check if an IP/hostname belongs to the AWS IP space or not. It uses the AWS IP address ranges data published by AWS to perform the search. Continuous recon of assets Gathering assets using a specific service (e.g. EC2) Finding region information for S3 buckets … etc. Install pip install onaws Usage Given an IP: onaws 52.219.47.34 Given a hostname: A domain or subdomain can be passed as input: onaws example.com You may […]

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Models

A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design

Fold2Seq [ICML2021] Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design Environment file: Data and Feature Generation: Go to data/ and check the README there. How to train the model: python train.py –data_path $path_to_the_data_dictionary –lr $learning_rate –model_save $path_to_the_saved_model How to generate sequences: python inference.py –trained_model $path_to_the_trained_model –output $path_to_the_output_file –data_path $path_to_the_data_dictionary Fold2Seq generated structures against natural structures: GitHub https://github.com/IBM/fold2seq    

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Machine Learning

A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

DANNet DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation Requirements python3.7 pytorch==1.5.0 cuda10.2 Datasets Cityscapes: Please follow the instructions in Cityscape to download the training set. Dark-Zurich: Please follow the instructions in Dark-Zurich to download the training/val/test set. Testing If needed, please directly download the visualization results of our method for Dark-zurich-val and Dark-zurich-test. To reproduce the reported results in our paper (on Dark-Zurich val), please follow these steps: Step1: download the [trained models](https://www.dropbox.com/s/fmlq806p2wqf311/trained_models.zip?dl=0) and put it […]

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Python

Beautiful Soup: Build a Web Scraper With Python

The incredible amount of data on the Internet is a rich resource for any field of research or personal interest. To effectively harvest that data, you’ll need to become skilled at web scraping. The Python libraries requests and Beautiful Soup are powerful tools for the job. If you like to learn with hands-on examples and you have a basic understanding of Python and HTML, then this tutorial is for you. In this tutorial, you’ll learn how to: Use requests and […]

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Beginner, Machine Learning, NLP, Project, Python, Text

Beginner Projects to Learn Natural Language Processing using Python !

This article was published as a part of the Data Science Blogathon Machines understanding language fascinates me, and that I often ponder which algorithms Aristotle would have accustomed build a rhetorical analysis machine if he had the possibility. If you’re new to Data Science, getting into NLP can seem complicated, especially since there are many recent advancements within the field. it’s hard to grasp where to begin. Table of Contents 1.What can Machines Understand? 2.Project 1:Word Cloud 3.Project 2:Spam Detection 4.Project […]

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Beginner, Libraries, NLP, Python, Text, Unstructured Data

Beginner’s Guide To Natural Language Processing Using SpaCy

This article was published as a part of the Data Science Blogathon Pre-requisites Basic Knowledge of Natural Language Processing Hands-on practice of Python Introduction As we know data has some kind of meaning in its position. For every moment, mostly text data is getting generated in different formats like SMS, reviews, Emails, and so on. The main purpose of this article is to understand the basic idea of NLP using the library- SpaCy. So let’s go ahead. In this article, we […]

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Python

Measuring the memory usage of a Pandas DataFrame

How much memory are your Pandas DataFrame or Series using? Pandas provides an API for measuring this information, but a variety of implementation details means the results can be confusing or misleading. Consider the following example: >>> import pandas as pd >>> series = pd.Series([“abcdefhjiklmnopqrstuvwxyz” * 10 … for i in range(1_000_000)]) >>> series.memory_usage() 8000128 >>> series.memory_usage(deep=True) 307000128 Which is correct, is memory usage 8MB or 300MB? Neither! In this special case, it’s actually 67MB, at least with the default […]

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Machine Learning

Hierarchical Motion Understanding via Motion Programs

motion2prog_release Hierarchical Motion Understanding via Motion Programs (CVPR 2021)This repository contains the official implementation of: Hierarchical Motion Understanding via Motion Programs Running motion2prog 0. We start with video file and first prepare the input data $ ffmpeg -i ${video_dir}/video.mp4 ${video_dir}/frames/%05d.jpg $ python AlphaPose/scripts/demo_inference.py –cfg AlphaPose/pretrained_models/256x192_res50_lr1e-3_1x.yaml –checkpoint AlphaPose/pretrained_models/halpe26_fast_res50_256x192.pth –indir ${video_dir}/frames –outdir ${video_dir}/pose_mpii_track –pose_track –showbox –flip –qsize 256 $ mv ${video_dir}/pose_mpii_track/alphapose-results.json ${video_dir}/alphapose-results-halpe26-posetrack.json We packaged a demo video with necessary inputs for quickly testing our code $ wget https://sumith1896.github.io/motion2prog/static/demo.zip $ mv demo.zip data/ […]

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Raspberrypi

Security camera running OpenCV for object and motion detection with Raspberry Pi

Raspberry Pi Smart Security Camera Security camera running OpenCV for object and motion detection. The camera will send email with image of any objects it detects. It also runs a server that provides web interface with live stream video. Informations about: Setup Installing Dependencies Saving email addresses Running the Program are available under the Functionality section. Functionality Email notifications You can specify receiver’s and sender’s email address though web interface: After detecting an object the camera will send an email […]

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