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    1. pisa-device-ownership-forecasting pisa-device-ownership-forecastingPublic

      Reproducibility materials for the study comparing LSTM, GRU, ARIMA and Prophet models using PISA digital device ownership data.

    2. PISA-Reading-Forecasting-Turkiye PISA-Reading-Forecasting-TurkiyePublic

      Forecasting Türkiye's future PISA Reading Literacy performance using ARIMA, ARIMAX, Prophet, LSTM, and GRU models with socioeconomic and cultural indicators.

      Python

    3. timss-grade8-forecasting-2027-2031 timss-grade8-forecasting-2027-2031Public

      Supplementary materials, datasets, and Python scripts for projecting Türkiye's TIMSS Grade 8 mathematics and science achievement for 2027 and 2031 using time-series forecasting.

      Python

    4. PISA-Turkiye-Forecasting PISA-Turkiye-ForecastingPublic

      Reproducible implementation of ARIMA, Prophet, LSTM, and GRU models for forecasting Türkiye's PISA mathematics and science literacy scores using socioeconomic indicators.

      Python

    5. turkiye-happiness-rate-forecasting-2026-2028 turkiye-happiness-rate-forecasting-2026-2028Public

      Reproducibility materials for forecasting Türkiye's Happiness Rate using ARIMA/ARIMAX, Prophet, LSTM, and GRU.

      Python

    6. literacy-rate-forecasting-study literacy-rate-forecasting-studyPublic

      Python

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anonymousauthor0641 (anonymous) · GitHub
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      1. 
pisa-device-ownership-forecasting
pisa-device-ownership-forecastingPublic
        
Reproducibility materials for the study comparing LSTM, GRU, ARIMA and Prophet models using PISA digital device ownership data.

      2. 
PISA-Reading-Forecasting-Turkiye
PISA-Reading-Forecasting-TurkiyePublic
        
Forecasting Türkiye's future PISA Reading Literacy performance using ARIMA, ARIMAX, Prophet, LSTM, and GRU models with socioeconomic and cultural indicators.

        Python
      3. 
timss-grade8-forecasting-2027-2031
timss-grade8-forecasting-2027-2031Public
        
Supplementary materials, datasets, and Python scripts for projecting Türkiye's TIMSS Grade 8 mathematics and science achievement for 2027 and 2031 using time-series forecasting.

        Python
      4. 
PISA-Turkiye-Forecasting
PISA-Turkiye-ForecastingPublic
        
Reproducible implementation of ARIMA, Prophet, LSTM, and GRU models for forecasting Türkiye's PISA mathematics and science literacy scores using socioeconomic indicators.

        Python
      5. 
turkiye-happiness-rate-forecasting-2026-2028
turkiye-happiness-rate-forecasting-2026-2028Public
        
Reproducibility materials for forecasting Türkiye's Happiness Rate using ARIMA/ARIMAX, Prophet, LSTM, and GRU.

        Python
      6. 
literacy-rate-forecasting-study
literacy-rate-forecasting-studyPublic
        Python
      
, 'i');
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anonymousauthor0641 (anonymous) · GitHub
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        1. 
pisa-device-ownership-forecasting
pisa-device-ownership-forecastingPublic
          
Reproducibility materials for the study comparing LSTM, GRU, ARIMA and Prophet models using PISA digital device ownership data.

        2. 
PISA-Reading-Forecasting-Turkiye
PISA-Reading-Forecasting-TurkiyePublic
          
Forecasting Türkiye's future PISA Reading Literacy performance using ARIMA, ARIMAX, Prophet, LSTM, and GRU models with socioeconomic and cultural indicators.

          Python
        3. 
timss-grade8-forecasting-2027-2031
timss-grade8-forecasting-2027-2031Public
          
Supplementary materials, datasets, and Python scripts for projecting Türkiye's TIMSS Grade 8 mathematics and science achievement for 2027 and 2031 using time-series forecasting.

          Python
        4. 
PISA-Turkiye-Forecasting
PISA-Turkiye-ForecastingPublic
          
Reproducible implementation of ARIMA, Prophet, LSTM, and GRU models for forecasting Türkiye's PISA mathematics and science literacy scores using socioeconomic indicators.

          Python
        5. 
turkiye-happiness-rate-forecasting-2026-2028
turkiye-happiness-rate-forecasting-2026-2028Public
          
Reproducibility materials for forecasting Türkiye's Happiness Rate using ARIMA/ARIMAX, Prophet, LSTM, and GRU.

          Python
        6. 
literacy-rate-forecasting-study
literacy-rate-forecasting-studyPublic
          Python
        
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Highlight search terms from Google/DuckDuckGo/Bing referrer
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observer.observe(document.body, { childList: true, subtree: true });
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} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
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anonymousauthor0641 (anonymous) · GitHub
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Popular repositories
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          1. 
pisa-device-ownership-forecasting
pisa-device-ownership-forecastingPublic
            
Reproducibility materials for the study comparing LSTM, GRU, ARIMA and Prophet models using PISA digital device ownership data.

          2. 
PISA-Reading-Forecasting-Turkiye
PISA-Reading-Forecasting-TurkiyePublic
            
Forecasting Türkiye's future PISA Reading Literacy performance using ARIMA, ARIMAX, Prophet, LSTM, and GRU models with socioeconomic and cultural indicators.

            Python
          3. 
timss-grade8-forecasting-2027-2031
timss-grade8-forecasting-2027-2031Public
            
Supplementary materials, datasets, and Python scripts for projecting Türkiye's TIMSS Grade 8 mathematics and science achievement for 2027 and 2031 using time-series forecasting.

            Python
          4. 
PISA-Turkiye-Forecasting
PISA-Turkiye-ForecastingPublic
            
Reproducible implementation of ARIMA, Prophet, LSTM, and GRU models for forecasting Türkiye's PISA mathematics and science literacy scores using socioeconomic indicators.

            Python
          5. 
turkiye-happiness-rate-forecasting-2026-2028
turkiye-happiness-rate-forecasting-2026-2028Public
            
Reproducibility materials for forecasting Türkiye's Happiness Rate using ARIMA/ARIMAX, Prophet, LSTM, and GRU.

            Python
          6. 
literacy-rate-forecasting-study
literacy-rate-forecasting-studyPublic
            Python
          
, '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;
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}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
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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); }
})();
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try {
var __m = "youtube.com";
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anonymousauthor0641 (anonymous) · GitHub
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Popular repositories
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            1. 
pisa-device-ownership-forecasting
pisa-device-ownership-forecastingPublic
              
Reproducibility materials for the study comparing LSTM, GRU, ARIMA and Prophet models using PISA digital device ownership data.

            2. 
PISA-Reading-Forecasting-Turkiye
PISA-Reading-Forecasting-TurkiyePublic
              
Forecasting Türkiye's future PISA Reading Literacy performance using ARIMA, ARIMAX, Prophet, LSTM, and GRU models with socioeconomic and cultural indicators.

              Python
            3. 
timss-grade8-forecasting-2027-2031
timss-grade8-forecasting-2027-2031Public
              
Supplementary materials, datasets, and Python scripts for projecting Türkiye's TIMSS Grade 8 mathematics and science achievement for 2027 and 2031 using time-series forecasting.

              Python
            4. 
PISA-Turkiye-Forecasting
PISA-Turkiye-ForecastingPublic
              
Reproducible implementation of ARIMA, Prophet, LSTM, and GRU models for forecasting Türkiye's PISA mathematics and science literacy scores using socioeconomic indicators.

              Python
            5. 
turkiye-happiness-rate-forecasting-2026-2028
turkiye-happiness-rate-forecasting-2026-2028Public
              
Reproducibility materials for forecasting Türkiye's Happiness Rate using ARIMA/ARIMAX, Prophet, LSTM, and GRU.

              Python
            6. 
literacy-rate-forecasting-study
literacy-rate-forecasting-studyPublic
              Python
            
, '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"]');
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setTimeout(tryTheater, 500);
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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 = "*";
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anonymousauthor0641 (anonymous) · GitHub
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Popular repositories
Loading
              1. 
pisa-device-ownership-forecasting
pisa-device-ownership-forecastingPublic
                
Reproducibility materials for the study comparing LSTM, GRU, ARIMA and Prophet models using PISA digital device ownership data.

              2. 
PISA-Reading-Forecasting-Turkiye
PISA-Reading-Forecasting-TurkiyePublic
                
Forecasting Türkiye's future PISA Reading Literacy performance using ARIMA, ARIMAX, Prophet, LSTM, and GRU models with socioeconomic and cultural indicators.

                Python
              3. 
timss-grade8-forecasting-2027-2031
timss-grade8-forecasting-2027-2031Public
                
Supplementary materials, datasets, and Python scripts for projecting Türkiye's TIMSS Grade 8 mathematics and science achievement for 2027 and 2031 using time-series forecasting.

                Python
              4. 
PISA-Turkiye-Forecasting
PISA-Turkiye-ForecastingPublic
                
Reproducible implementation of ARIMA, Prophet, LSTM, and GRU models for forecasting Türkiye's PISA mathematics and science literacy scores using socioeconomic indicators.

                Python
              5. 
turkiye-happiness-rate-forecasting-2026-2028
turkiye-happiness-rate-forecasting-2026-2028Public
                
Reproducibility materials for forecasting Türkiye's Happiness Rate using ARIMA/ARIMAX, Prophet, LSTM, and GRU.

                Python
              6. 
literacy-rate-forecasting-study
literacy-rate-forecasting-studyPublic
                Python
              
, '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) {
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el.style.position = 'static';
el.style.top = 'auto';
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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); }
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anonymousauthor0641 (anonymous) · GitHub
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                1. 
pisa-device-ownership-forecasting
pisa-device-ownership-forecastingPublic
                  
Reproducibility materials for the study comparing LSTM, GRU, ARIMA and Prophet models using PISA digital device ownership data.

                2. 
PISA-Reading-Forecasting-Turkiye
PISA-Reading-Forecasting-TurkiyePublic
                  
Forecasting Türkiye's future PISA Reading Literacy performance using ARIMA, ARIMAX, Prophet, LSTM, and GRU models with socioeconomic and cultural indicators.

                  Python
                3. 
timss-grade8-forecasting-2027-2031
timss-grade8-forecasting-2027-2031Public
                  
Supplementary materials, datasets, and Python scripts for projecting Türkiye's TIMSS Grade 8 mathematics and science achievement for 2027 and 2031 using time-series forecasting.

                  Python
                4. 
PISA-Turkiye-Forecasting
PISA-Turkiye-ForecastingPublic
                  
Reproducible implementation of ARIMA, Prophet, LSTM, and GRU models for forecasting Türkiye's PISA mathematics and science literacy scores using socioeconomic indicators.

                  Python
                5. 
turkiye-happiness-rate-forecasting-2026-2028
turkiye-happiness-rate-forecasting-2026-2028Public
                  
Reproducibility materials for forecasting Türkiye's Happiness Rate using ARIMA/ARIMAX, Prophet, LSTM, and GRU.

                  Python
                6. 
literacy-rate-forecasting-study
literacy-rate-forecasting-studyPublic
                  Python
                
, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
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html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
anonymousauthor0641 (anonymous) · GitHub
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Popular repositories
Loading
                  1. 
pisa-device-ownership-forecasting
pisa-device-ownership-forecastingPublic
                    
Reproducibility materials for the study comparing LSTM, GRU, ARIMA and Prophet models using PISA digital device ownership data.

                  2. 
PISA-Reading-Forecasting-Turkiye
PISA-Reading-Forecasting-TurkiyePublic
                    
Forecasting Türkiye's future PISA Reading Literacy performance using ARIMA, ARIMAX, Prophet, LSTM, and GRU models with socioeconomic and cultural indicators.

                    Python
                  3. 
timss-grade8-forecasting-2027-2031
timss-grade8-forecasting-2027-2031Public
                    
Supplementary materials, datasets, and Python scripts for projecting Türkiye's TIMSS Grade 8 mathematics and science achievement for 2027 and 2031 using time-series forecasting.

                    Python
                  4. 
PISA-Turkiye-Forecasting
PISA-Turkiye-ForecastingPublic
                    
Reproducible implementation of ARIMA, Prophet, LSTM, and GRU models for forecasting Türkiye's PISA mathematics and science literacy scores using socioeconomic indicators.

                    Python
                  5. 
turkiye-happiness-rate-forecasting-2026-2028
turkiye-happiness-rate-forecasting-2026-2028Public
                    
Reproducibility materials for forecasting Türkiye's Happiness Rate using ARIMA/ARIMAX, Prophet, LSTM, and GRU.

                    Python
                  6. 
literacy-rate-forecasting-study
literacy-rate-forecasting-studyPublic
                    Python