github.com
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192.30.253.113
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Submission: On April 17 via automatic, source hackernews
Summary
TLS certificate: Issued by DigiCert SHA2 Extended Validation Ser... on May 8th 2018. Valid for: 2 years.
This is the only time github.com was scanned on urlscan.io!
urlscan.io Verdict: No classification
Domain & IP information
IP Address | AS Autonomous System | ||
---|---|---|---|
2 | 192.30.253.113 192.30.253.113 | 36459 (GITHUB) (GITHUB - GitHub) | |
8 | 185.199.111.154 185.199.111.154 | 54113 (FASTLY) (FASTLY - Fastly) | |
1 | 151.101.0.133 151.101.0.133 | 54113 (FASTLY) (FASTLY - Fastly) | |
1 | 2a00:1450:400... 2a00:1450:4001:816::200e | 15169 (GOOGLE) (GOOGLE - Google LLC) | |
1 | 54.165.60.222 54.165.60.222 | 14618 (AMAZON-AES) (AMAZON-AES - Amazon.com) | |
1 | 192.30.253.117 192.30.253.117 | 36459 (GITHUB) (GITHUB - GitHub) | |
15 | 7 |
ASN36459 (GITHUB - GitHub, Inc., US)
PTR: lb-192-30-253-113-iad.github.com
github.com |
ASN54113 (FASTLY - Fastly, US)
avatars2.githubusercontent.com |
ASN14618 (AMAZON-AES - Amazon.com, Inc., US)
PTR: ec2-54-165-60-222.compute-1.amazonaws.com
collector.githubapp.com |
ASN36459 (GITHUB - GitHub, Inc., US)
PTR: lb-192-30-253-117-iad.github.com
api.github.com |
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Transfer | |
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8 |
githubassets.com
github.githubassets.com |
370 KB |
3 |
github.com
github.com api.github.com |
40 KB |
1 |
githubapp.com
collector.githubapp.com |
529 B |
1 |
google-analytics.com
www.google-analytics.com |
116 B |
1 |
githubusercontent.com
avatars2.githubusercontent.com |
2 KB |
15 | 5 |
Domain | Requested by | |
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8 | github.githubassets.com |
github.com
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2 | github.com |
github.githubassets.com
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1 | api.github.com |
github.githubassets.com
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1 | collector.githubapp.com | |
1 | www.google-analytics.com |
github.githubassets.com
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1 | avatars2.githubusercontent.com |
github.com
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15 | 6 |
This site contains links to these domains. Also see Links.
Subject Issuer | Validity | Valid | |
---|---|---|---|
github.com DigiCert SHA2 Extended Validation Server CA |
2018-05-08 - 2020-06-03 |
2 years | crt.sh |
*.githubassets.com DigiCert SHA2 High Assurance Server CA |
2018-10-29 - 2020-11-02 |
2 years | crt.sh |
www.github.com DigiCert SHA2 High Assurance Server CA |
2017-03-23 - 2020-05-13 |
3 years | crt.sh |
*.google-analytics.com Google Internet Authority G3 |
2019-03-26 - 2019-06-18 |
3 months | crt.sh |
*.githubapp.com DigiCert SHA2 High Assurance Server CA |
2017-04-04 - 2020-04-28 |
3 years | crt.sh |
*.github.com DigiCert SHA2 High Assurance Server CA |
2018-06-19 - 2019-07-10 |
a year | crt.sh |
This page contains 1 frames:
Primary Page:
https://github.com/fritzlabs/Awesome-Mobile-Machine-Learning
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206 Outgoing links
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Title: Learning Lab
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Title: GitHub Education
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Title: Contact Sales
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Title: https://www.fritz.ai
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Title:
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Title: Open in Desktop
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Title: download Xcode
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Title: download the GitHub extension for Visual Studio
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Title: Fritz
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Title: Machine Learning and the Future of Mobile App Development
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Title: Machine Learning on Mobile Devices: 3 Steps for Deploying ML in Your Apps
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Title: Embracing Machine Learning as a Mobile Developer
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Title: Machine Learning on iOS and Android
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Title: Deep Learning on the Edge
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Title: Why Machine Learning on the Edge
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Title: 5 App Ideas to Unleash the Power of Mobile Machine Learning
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Title: How TensorFlow Lite Optimizes Neural Networks for Mobile Machine Learning
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Title: Machine Learning for Mobile - EBook
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Title: Why the Future of Machine Learning is Tiny
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Title: Machine Learning on mobile: on the device or in the cloud?
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Title: Cameras that understand: Portrait Mode and Google Lens
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Title: Machine Learning App Development—Disrupting the Mobile App Industry
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Title: How smartphones handle huge neural networks
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Title: How to Fit Large Neural Networks on the Edge
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Title: Advances in Machine Learning Are Revolutionizing the Mobile App Development Realm
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Title: New to Data Science? Here are a few places to start
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Title: Machine Learning Crash Course—Google
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Title: Siraj Raval’s YouTube Channel
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Title: Fast.ai
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Title: Kaggle: The place to do data science projects
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Title: Core ML
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Title: TensorFlow Lite
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Title: ML Kit
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Title: Keras
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Title: ONNX
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Title: Microsoft Cognitive Toolkit
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Title: IBM Watson
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Title: Caffe2
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Title: Apache MXNet
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Title: PyTorch
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Title: Mobile ML GitHub Repositories
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Title: AI Startup Landscape
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Title: AI and Machine Learning Newsletters
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Title: Mobile Development Newsletters
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Title: Data Science Newsletters
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Title: Facebook Groups
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Title: Intro to machine learning on iOS: Using Core ML to recognize handwritten digits
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Title: Building Not Hotdog with Turi Create and Core ML—in an afternoon
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Title: Core ML SImplified with Lumina
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Title: CoffeeBot—Using Scikit-learn, Core ML for iOS, and Alexa to predict the right coffee to drink
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Title: Emotion detection for cats—Custom Vision & Core ML on a Swift Playground
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Title: Using Core ML and Vision in iOS for Age Detection
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Title: Using Core ML and Custom Vision to Build a Real-Time Hand Sign Detector in iOS
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Title: Using Core ML and ARKit to Build a Gesture-Based Interface iOS App
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Title: Real-Time Style Transfer for iOS
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Title: Making a “Pokedex” for iOS Using Create ML and Core ML with Vision
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Title: Moving AI from the Cloud to the Edge with Crowd Count and Apple’s Core ML
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Title: Build your own Portrait Mode on iOS using machine learning in < 30 minutes
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Title: Building a real-time object recognition iOS app that detects sushi
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Title: Detecting Pneumonia in an iOS App with Create ML
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Title: Training a Core ML Model with Turi Create to Classify Dog Breeds
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Title: Pose Estimation on iOS
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Title: Hand Detection with Core ML and ARKit
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Title: Creating a Prisma-like App with Core ML, Style Transfer, and Turi Create
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Title: MobileNetV2 + SSDLite with Core ML (Object Detection)
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Title: Vision in iOS: Text detection and Tesseract recognition
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Title: Machine Learning in iOS: Azure Custom Vision and Core ML
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Title: Machine Learning in iOS: Turi Create and Core ML
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Title: Detecting Whisky brands with Core ML and IBM Watson services
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Title: Core ML with GloVe Word Embedding and a Recursive Neural Network
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Title: Reducing Core ML 2 Model Size by 4X Using Quantization in iOS 12
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Title: Mobile intelligence—TensorFlow Lite Classification on Android
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Title: Building a pet monitoring app in Android with machine learning
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Title: Text Recognition with ML Kit
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Title: Image Recognition with ML Kit
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Title: Applying TensorFlow in Android in 4 steps
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Title: Working with the OpenCv Camera for Android: Rotating, Orienting, and Scaling
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Title: Deploying PyTorch and Kera Models to Android with TensorFlow Mobile
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Title: Compiling a TensorFlow Lite Build with Custom Operations
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Title: Profiling TensorFlow Lite Models for Android
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Title: Deploying Keras Deep Learning Models with Java
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Title: Exporting TensorFlow models to ML Kit
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Title: From Keras to ML Kit
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Title: Using Deep Learning and Neural Networks in Android Applications
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Title: Machine Learning models on the edge: mobile and Iot
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Title: The Mobile Neural Network Lottery
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Title: Transfer learning: Can it enable AI on every smartphone?
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Title: Building an Image Recognition Model for Mobile using Depthwise Convolutions
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Title: Neural Networks on Mobile Devices with TensorFlow Lite: A Tutorial
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Title: Leveraging AI with Location Data in Mobile Apps
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Title: Using TensorFlow.js to Automate the Chrome Dinosaur Game
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Title: Machine Learning in iOS Using Swift—Udemy
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Title: Complete iOS Machine Learning Masterclass—Udemy
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Title: Understand Core ML in 5 Minutes
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Title: Machine Learning tutorial with Core ML 2—Part 1
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Verdicts & Comments Add Verdict or Comment
39 JavaScript Global Variables
These are the non-standard "global" variables defined on the window object. These can be helpful in identifying possible client-side frameworks and code.
object| onselectstart object| onselectionchange function| queueMicrotask object| System function| AutocompleteElement function| IncludeFragmentElement function| DetailsMenuElement function| GEmojiElement function| ImageCropElement function| MarkdownHeaderButtonElement function| MarkdownBoldButtonElement function| MarkdownItalicButtonElement function| MarkdownQuoteButtonElement function| MarkdownCodeButtonElement function| MarkdownLinkButtonElement function| MarkdownUnorderedListButtonElement function| MarkdownOrderedListButtonElement function| MarkdownTaskListButtonElement function| MarkdownMentionButtonElement function| MarkdownRefButtonElement function| MarkdownToolbarElement function| TabContainerElement function| TaskListsElement function| LocalTimeElement function| RelativeTimeElement function| TimeAgoElement function| TimeUntilElement function| ClipboardCopyElement function| DetailsDialogElement function| AutoCheckElement function| PollIncludeFragmentElement function| FileAttachmentElement function| ga object| gaplugins function| FuzzyListElement function| FilterableInputElement object| _octo object| gaGlobal object| gaData7 Cookies
Cookies are little pieces of information stored in the browser of a user. Whenever a user visits the site again, he will also send his cookie values, thus allowing the website to re-identify him even if he changed locations. This is how permanent logins work.
Domain/Path | Expires | Name / Value |
---|---|---|
github.com/ | Name: tz Value: UTC |
|
.github.com/ | Name: _gat Value: 1 |
|
.github.com/ | Name: _octo Value: GH1.1.2005139734.1555466382 |
|
.github.com/ | Name: logged_in Value: no |
|
.github.com/ | Name: _ga Value: GA1.2.1979565798.1555466382 |
|
github.com/ | Name: _gh_sess Value: MHRMSU9IZ2FOWmQ3c1Q5L1B0cFNWeEhOeUYwRVAzekgvNHJNZ1UwNlhRa2JwcjVLelpCeUhhSWhobkRuVXA3STNpVDRQazZNbE01K2YwNUdmcjNLQVZvSm1OclFyOHRuYWFVOVdTRXJZcjdNd2hMK3hsdng4dEtJQkZXWTgzK0F4N0FzM1phWitpZERCU2pmS0llOWNJYUtxVkh4M0RFdk5jOU1wMGsveFYreWdUdllDSDZvRUVIQmVXYWdsMmNGcmp5ck9yNERnY3pnakpCZG5uYWtZZytnTW5wYXVIaDc2UHkvZklwVlVzQWJESFpVSk5aYk95eWdDMG5WTkVnWFhDQWFaZ3NIblJGM0xhUGpYcFc0ZXlWbFdJT05qc3ZNQXFGN3kzU2RWVzdnaUlndE5meGlsVGEzdXpiVzZLZjQtLU02aGFBTHdoc0hPTGtKbEJYOEdHcWc9PQ%3D%3D--0620c82238fa8427dffeea9bcb49c9666cca8d92 |
|
github.com/ | Name: has_recent_activity Value: 1 |
Security Headers
This page lists any security headers set by the main page. If you want to understand what these mean and how to use them, head on over to this page
Header | Value |
---|---|
Content-Security-Policy | default-src 'none'; base-uri 'self'; block-all-mixed-content; connect-src 'self' uploads.github.com www.githubstatus.com collector.githubapp.com api.github.com www.google-analytics.com github-cloud.s3.amazonaws.com github-production-repository-file-5c1aeb.s3.amazonaws.com github-production-upload-manifest-file-7fdce7.s3.amazonaws.com github-production-user-asset-6210df.s3.amazonaws.com wss://live.github.com; font-src github.githubassets.com; form-action 'self' github.com gist.github.com; frame-ancestors 'none'; frame-src render.githubusercontent.com; img-src 'self' data: github.githubassets.com identicons.github.com collector.githubapp.com github-cloud.s3.amazonaws.com *.githubusercontent.com; manifest-src 'self'; media-src 'none'; script-src github.githubassets.com; style-src 'unsafe-inline' github.githubassets.com |
Strict-Transport-Security | max-age=31536000; includeSubdomains; preload |
X-Content-Type-Options | nosniff |
X-Frame-Options | deny |
X-Xss-Protection | 1; mode=block |
Indicators
This is a term in the security industry to describe indicators such as IPs, Domains, Hashes, etc. This does not imply that any of these indicate malicious activity.
api.github.com
avatars2.githubusercontent.com
collector.githubapp.com
github.com
github.githubassets.com
www.google-analytics.com
api.github.com
151.101.0.133
185.199.111.154
192.30.253.113
192.30.253.117
2a00:1450:4001:816::200e
54.165.60.222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