Skip to content
BranchesTags

Repository files navigation

A.I. for Astrophysics Masterclass - Classifying Pulsars

A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.

Version 1.0 (28/10/2019)

Author

Dr. Robert Lyon

Lecturer @ Edge Hill University, Department of Computer Science.

Also see www.scienceguyrob.com.

DOI

If using/editing this resource, please cite it appropriately using the DOI above.


Remember if you find this resource useful, you can let me know via social media


A live version of the interactive notebook can be found via Google Colab here.

License

The code and the contents of this notebook are released under the GNU GENERAL PUBLIC LICENSE, Version 3, 29 June 2007. Any videos linked to are exempt from this, please check the license provided by the video content owners if you would like to use them. If reusing this material, please cite it appropriately.

Contents

This repository contains the masterclass notebook, data, and various resources.

About

A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.

Resources

Readme
Activity

Stars

8 stars

Watchers

2 watching

Forks

3 forks
Report repository

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
 blocks
(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
GitHub - scienceguyrob/AI4AstroMasterclass: A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019. · GitHub
Skip to content
BranchesTags
Repository files navigation
A.I. for Astrophysics Masterclass - Classifying Pulsars
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Version 1.0 (28/10/2019)
Author
Dr. Robert Lyon
Lecturer @ Edge Hill University, Department of Computer Science.
Also see www.scienceguyrob.com.
DOI
If using/editing this resource, please cite it appropriately using the DOI above.

Remember if you find this resource useful, you can let me know via social media 

A live version of the interactive notebook can be found via Google Colab here.
License
The code and the contents of this notebook are released under the GNU GENERAL PUBLIC LICENSE, Version 3, 29 June 2007. Any videos linked to are exempt from this, please check the license provided by the video content owners if you would like to use them. If reusing this material, please cite it appropriately.
Contents
This repository contains the masterclass notebook, data, and various resources.
About
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Resources
Readme
Activity
Stars
8 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
.markdown-body img { background: #0d1117; }
.markdown-body blockquote { border-left-color: #8b949e; }
.markdown-body hr { border-color: #30363d; }
';
document.head.appendChild(style);
})();
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - scienceguyrob/AI4AstroMasterclass: A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019. · GitHub
Skip to content
BranchesTags
Repository files navigation
A.I. for Astrophysics Masterclass - Classifying Pulsars
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Version 1.0 (28/10/2019)
Author
Dr. Robert Lyon
Lecturer @ Edge Hill University, Department of Computer Science.
Also see www.scienceguyrob.com.
DOI
If using/editing this resource, please cite it appropriately using the DOI above.

Remember if you find this resource useful, you can let me know via social media 

A live version of the interactive notebook can be found via Google Colab here.
License
The code and the contents of this notebook are released under the GNU GENERAL PUBLIC LICENSE, Version 3, 29 June 2007. Any videos linked to are exempt from this, please check the license provided by the video content owners if you would like to use them. If reusing this material, please cite it appropriately.
Contents
This repository contains the masterclass notebook, data, and various resources.
About
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Resources
Readme
Activity
Stars
8 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
var q = url.searchParams.get('q') || url.searchParams.get('p');
if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
}
}
if (terms.length === 0) return;
var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
if (regex.test(text)) {
found = true;
var frag = document.createDocumentFragment();
var parts = text.split(regex);
parts.forEach(function(part, i) {
if (i % 2 === 0) {
frag.appendChild(document.createTextNode(part));
} else {
var span = document.createElement('span');
span.className = 'userscript-highlight';
span.textContent = part;
frag.appendChild(span);
}
});
node.parentNode.replaceChild(frag, node);
}
});
} else if (node.nodeType === 1 && node.childNodes) { // element
var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];
if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
}
}
}
highlight(document.body);
// Re-highlight on dynamic content
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1 || node.nodeType === 3) highlight(node);
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - scienceguyrob/AI4AstroMasterclass: A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019. · GitHub
Skip to content
BranchesTags
Repository files navigation
A.I. for Astrophysics Masterclass - Classifying Pulsars
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Version 1.0 (28/10/2019)
Author
Dr. Robert Lyon
Lecturer @ Edge Hill University, Department of Computer Science.
Also see www.scienceguyrob.com.
DOI
If using/editing this resource, please cite it appropriately using the DOI above.

Remember if you find this resource useful, you can let me know via social media 

A live version of the interactive notebook can be found via Google Colab here.
License
The code and the contents of this notebook are released under the GNU GENERAL PUBLIC LICENSE, Version 3, 29 June 2007. Any videos linked to are exempt from this, please check the license provided by the video content owners if you would like to use them. If reusing this material, please cite it appropriately.
Contents
This repository contains the masterclass notebook, data, and various resources.
About
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Resources
Readme
Activity
Stars
8 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - scienceguyrob/AI4AstroMasterclass: A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019. · GitHub
Skip to content
BranchesTags
Repository files navigation
A.I. for Astrophysics Masterclass - Classifying Pulsars
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Version 1.0 (28/10/2019)
Author
Dr. Robert Lyon
Lecturer @ Edge Hill University, Department of Computer Science.
Also see www.scienceguyrob.com.
DOI
If using/editing this resource, please cite it appropriately using the DOI above.

Remember if you find this resource useful, you can let me know via social media 

A live version of the interactive notebook can be found via Google Colab here.
License
The code and the contents of this notebook are released under the GNU GENERAL PUBLIC LICENSE, Version 3, 29 June 2007. Any videos linked to are exempt from this, please check the license provided by the video content owners if you would like to use them. If reusing this material, please cite it appropriately.
Contents
This repository contains the masterclass notebook, data, and various resources.
About
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Resources
Readme
Activity
Stars
8 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - scienceguyrob/AI4AstroMasterclass: A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019. · GitHub
Skip to content
BranchesTags
Repository files navigation
A.I. for Astrophysics Masterclass - Classifying Pulsars
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Version 1.0 (28/10/2019)
Author
Dr. Robert Lyon
Lecturer @ Edge Hill University, Department of Computer Science.
Also see www.scienceguyrob.com.
DOI
If using/editing this resource, please cite it appropriately using the DOI above.

Remember if you find this resource useful, you can let me know via social media 

A live version of the interactive notebook can be found via Google Colab here.
License
The code and the contents of this notebook are released under the GNU GENERAL PUBLIC LICENSE, Version 3, 29 June 2007. Any videos linked to are exempt from this, please check the license provided by the video content owners if you would like to use them. If reusing this material, please cite it appropriately.
Contents
This repository contains the masterclass notebook, data, and various resources.
About
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Resources
Readme
Activity
Stars
8 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
});
}
unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
})();
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
})();
GitHub - scienceguyrob/AI4AstroMasterclass: A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019. · GitHub
Skip to content
BranchesTags
Repository files navigation
A.I. for Astrophysics Masterclass - Classifying Pulsars
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Version 1.0 (28/10/2019)
Author
Dr. Robert Lyon
Lecturer @ Edge Hill University, Department of Computer Science.
Also see www.scienceguyrob.com.
DOI
If using/editing this resource, please cite it appropriately using the DOI above.

Remember if you find this resource useful, you can let me know via social media 

A live version of the interactive notebook can be found via Google Colab here.
License
The code and the contents of this notebook are released under the GNU GENERAL PUBLIC LICENSE, Version 3, 29 June 2007. Any videos linked to are exempt from this, please check the license provided by the video content owners if you would like to use them. If reusing this material, please cite it appropriately.
Contents
This repository contains the masterclass notebook, data, and various resources.
About
A Jupyter notebook containing a machine learning tutorial for Pulsar classification. The notebook was written to support a masterclass delivered to students at Edge Hill University on November 14th 2019.
Resources
Readme
Activity
Stars
8 stars
Watchers
2 watching
Forks
3 forks
Report repository
Releases
Packages
Contributors
Languages