corpus.blog
56,966 blogs · [ { "id": "01a0d224-a562-70b8-8b75-be897eedcf67", "title": "Apex Charts example", "url": "https://ilievskiv.github.io/assets/html/apex_index.html", "published_at": "2026-05-05T14:37:24+00:00" }, { "id": "01a0d224-a562-70b8-8b75-be897fecd208", "title": "Graph Visualization with Cytoscape", "url": "https://ilievskiv.github.io/assets/html/cytoscape_index.html", "published_at": "2026-05-05T14:37:24+00:00" }, { "id": "01a0d224-a562-70b8-8b75-be89804b4e7b", "title": null, "url": "https://ilievskiv.github.io/assets/html/hiplot.html", "published_at": "2026-05-05T14:37:24+00:00" }, { "id": "01a0d224-a562-70b8-8b75-be89813f0a75", "title": "NVD3 Charts example", "url": "https://ilievskiv.github.io/assets/html/nvd3_index.html", "published_at": "2026-05-05T14:37:24+00:00" }, { "id": "01a0d224-a562-70b8-8b75-be89816ffd41", "title": "Plotly JS example", "url": "https://ilievskiv.github.io/assets/html/plotly_index.html", "published_at": "2026-05-05T14:37:24+00:00" }, { "id": "01a0d224-a562-70b8-8b75-be89824e085b", "title": null, "url": "https://ilievskiv.github.io/googlee6602c26df4ce902.html", "published_at": "2026-05-05T14:37:24+00:00" }, { "id": "01a08786-2f9c-7329-85fc-2c66c6a98d78", "title": "Beyond Personalization: How LLMs are Revolutionizing Recommendation Systems", "url": "https://ilievskiv.github.io/blog/2024-08-12-llms-for-recsys/", "published_at": "2024-08-12T09:00:00+00:00" }, { "id": "01a08786-2f9c-7329-85fc-2c66c6fb3d58", "title": "Batch vs Layer Normalization in Deep Neural Nets. The Illustrated Way!", "url": "https://ilievskiv.github.io/blog/2023-03-15-illustrated-batch-vs-layer-norm/", "published_at": "2023-03-15T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621d3b1ae8", "title": "Can ChatGPT differentiate and code it in Python? It seems so!", "url": "https://ilievskiv.github.io/tips/2023-02-19-chatgpt-derivation/", "published_at": "2023-02-19T21:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621c7a1feb", "title": "The beauty of the Walrus Operator in Python", "url": "https://ilievskiv.github.io/tips/2023-02-12-walrus-operator/", "published_at": "2023-02-12T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621c382e58", "title": "Can ChatGPT turn LaTeX equations into Python code?", "url": "https://ilievskiv.github.io/tips/2023-02-07-chatgpt-latex/", "published_at": "2023-02-07T21:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621b412182", "title": "Make every line of your Python code to count with these 4 profilers", "url": "https://ilievskiv.github.io/tips/2023-02-06-python-profilers/", "published_at": "2023-02-06T09:00:00+00:00" }, { "id": "01a0d224-a562-70b8-8b75-be897afe6d23", "title": "Convergence of T-distribution to Normal Distribution. Visualized!", "url": "https://ilievskiv.github.io/visualizations/2023-01-30-sdutent-to-gaussian-convergence/", "published_at": "2023-01-30T09:00:00+00:00" }, { "id": "01a08786-2f9c-7329-85fc-2c66c7db4daa", "title": "The 100-page ChatGPT Generated Python Tutorial For Absolute Beginners", "url": "https://ilievskiv.github.io/blog/2023-01-29-chat-gpt-generated-python-tutorial/", "published_at": "2023-01-29T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621a5c8142", "title": "Understand high-dimensional data with three lines of code", "url": "https://ilievskiv.github.io/tips/2023-01-26-pandas-plotting/", "published_at": "2023-01-26T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621a5d35a7", "title": "Focus on what instead of how to plot your data", "url": "https://ilievskiv.github.io/tips/2023-01-27-altair-plotting/", "published_at": "2023-01-26T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-846219cb000e", "title": "Make the learning curve of an ML model more informative", "url": "https://ilievskiv.github.io/tips/2023-01-22-loss-per-class/", "published_at": "2023-01-22T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621944bb89", "title": "I wish every data scientist had interactive data explorers like this one!", "url": "https://ilievskiv.github.io/tips/2023-01-19-umap-explorer/", "published_at": "2023-01-19T09:00:00+00:00" }, { "id": "01a08786-2f9c-7329-85fc-2c66c8ade25c", "title": "Track the CO2 emissions of your Python code the same way you time it. Here is how!", "url": "https://ilievskiv.github.io/blog/2023-01-18-code-carbon/", "published_at": "2023-01-17T09:00:00+00:00" }, { "id": "01a0d224-a562-70b8-8b75-be897a0bcfa4", "title": "The Barnsley Fern: Ferns Seen as Fractals (not only as plants)", "url": "https://ilievskiv.github.io/visualizations/2023-01-13-barnsley-fern/", "published_at": "2023-01-12T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-8462180a6a73", "title": "Boiler plate code? Enter cht.sh command line!", "url": "https://ilievskiv.github.io/tips/2023-01-11-cht-sh-cli/", "published_at": "2023-01-11T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-846218fefb87", "title": "Understanding unix commands was never easer. Here's how!", "url": "https://ilievskiv.github.io/tips/2023-01-12-explain-shell/", "published_at": "2023-01-11T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84622708d9c0", "title": "Sierpiński Triangle: Fractal Christmas Tree", "url": "https://ilievskiv.github.io/visualizations/2021-12-24-sierpinski-triangle/", "published_at": "2021-12-23T09:00:00+00:00" }, { "id": "01a08786-2f9c-7329-85fc-2c66c93be779", "title": "Neural Networks Hyperparameter Search, the Visualized Way", "url": "https://ilievskiv.github.io/blog/2021-12-19-hyperparam-search/", "published_at": "2021-12-19T09:00:00+00:00" }, { "id": "01a08786-2f9c-7329-85fc-2c66c9a34ec1", "title": "Simple but Stunning: Animated Cellular Automata in Python", "url": "https://ilievskiv.github.io/blog/2021-05-02-cellular-automata/", "published_at": "2021-05-02T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-846226573606", "title": "The holy grail of mathematics: animated visualization of the Riemann Zeta zeros", "url": "https://ilievskiv.github.io/visualizations/2021-02-25-riemann-zeta-zeros/", "published_at": "2021-02-25T09:00:00+00:00" }, { "id": "01a08786-2f9c-7329-85fc-2c66ca8c3f66", "title": "The new normal that changes the way we do AI. Here is how, with illustrated examples", "url": "https://ilievskiv.github.io/blog/2021-01-14-ai-new-normal/", "published_at": "2021-01-14T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-846225adbe14", "title": "Chaotic Beauty: Bifurcation Diagram Animation with Matplotlib", "url": "https://ilievskiv.github.io/visualizations/2020-11-18-bufurcation-diagram/", "published_at": "2020-11-18T09:00:00+00:00" }, { "id": "01a08786-2f9c-7329-85fc-2c66cb615f2f", "title": "Integrals are Fun: Illustrated Riemann-Stieltjes Integral", "url": "https://ilievskiv.github.io/blog/2020-10-01-riemann-stieltjes-integration/", "published_at": "2020-10-01T09:00:00+00:00" }, { "id": "01a08786-2f9c-7329-85fc-2c66cc2d9388", "title": "The Delicacy of Data Augmentation in Natural Language Processing", "url": "https://ilievskiv.github.io/blog/2020-07-07-delicacy-of-data-augmentation/", "published_at": "2020-07-07T09:00:00+00:00" }, { "id": "01a08786-2f9c-7329-85fc-2c66ccd9ae73", "title": "Animate Your Own Fractals in Python with Matplotlib", "url": "https://ilievskiv.github.io/blog/2020-07-04-animated-fractals/", "published_at": "2020-07-04T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-846224cef3f2", "title": "Julia Set: Animate your own in Python with Matplotlib", "url": "https://ilievskiv.github.io/visualizations/2020-06-26-julia-set/", "published_at": "2020-06-27T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84622498654b", "title": "Visualized Koch Snowflake in Python with Matplotlib", "url": "https://ilievskiv.github.io/visualizations/2020-06-15-koch-curve/", "published_at": "2020-06-15T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-846224532180", "title": "This is why the Mandelbrot sets are amazing!", "url": "https://ilievskiv.github.io/visualizations/2020-06-11-mandelbrot/", "published_at": "2020-06-11T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-8462238a92c9", "title": "Calculation of the Circle's Area Explained Visually", "url": "https://ilievskiv.github.io/visualizations/2020-06-07-area-circle/", "published_at": "2020-06-07T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-8462127a2ff0", "title": "Integrals are Easy: Visualized Riemann Integration in Python", "url": "https://ilievskiv.github.io/blog/2020-05-27-riemann-integration/", "published_at": "2020-05-27T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-846222d69808", "title": "Riemann Sums", "url": "https://ilievskiv.github.io/visualizations/2020-05-27-riemann-sums/", "published_at": "2020-05-27T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-846222b1dc1f", "title": "Reflection Principle of Brownian Motion", "url": "https://ilievskiv.github.io/visualizations/2020-05-22-bm-reflection-principle/", "published_at": "2020-05-22T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-846221f2d4c8", "title": "The million possible paths of a single random process", "url": "https://ilievskiv.github.io/visualizations/2020-05-19-gbm-monte-carlo/", "published_at": "2020-05-19T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621268b0ed", "title": "Forget Determinism, see Randomness in Action: How to Model Stock Price", "url": "https://ilievskiv.github.io/blog/2020-05-17-geometric-brownian-motion/", "published_at": "2020-05-17T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-8462209aae06", "title": "Pi Approximation", "url": "https://ilievskiv.github.io/visualizations/2020-05-04-approximation-pi/", "published_at": "2020-05-17T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-8462214968ef", "title": "Zero Mean, Infinite Variance", "url": "https://ilievskiv.github.io/visualizations/2020-05-17-gbm-mean-var/", "published_at": "2020-05-17T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621235a7b8", "title": "Random Walks Have Never Been Funnier: Drifted Brownian Motion in Python", "url": "https://ilievskiv.github.io/blog/2020-05-01-drifted-brownian-motion/", "published_at": "2020-05-01T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621fc4554e", "title": "Biased Brownian Motion", "url": "https://ilievskiv.github.io/visualizations/2020-05-01-brownian-motion-bias/", "published_at": "2020-05-01T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621fcfa9ae", "title": "Volatile Brownian Motion", "url": "https://ilievskiv.github.io/visualizations/2020-05-01-brownian-motion-volatility/", "published_at": "2020-05-01T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-8462116902e6", "title": "Animated Visualization of Brownian Motion in Python", "url": "https://ilievskiv.github.io/blog/2020-04-16-brownian-motion/", "published_at": "2020-04-16T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621f70c4ba", "title": "Brownian Motion Construction", "url": "https://ilievskiv.github.io/visualizations/2020-04-16-brownian-motion-convergence/", "published_at": "2020-04-16T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621165c464", "title": "Animated Visualization of Random Walks in Python", "url": "https://ilievskiv.github.io/blog/2020-04-12-random-walk/", "published_at": "2020-04-12T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621eca2066", "title": "Simple Random Walk", "url": "https://ilievskiv.github.io/visualizations/2020-04-12-random-walk/", "published_at": "2020-04-12T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621133dcab", "title": "JavaScript: Graph Visualization using Cytoscape JS", "url": "https://ilievskiv.github.io/blog/2020-03-24-viz-tools-pt2-2/", "published_at": "2020-03-25T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-846210471b73", "title": "JavaScript: Discover the Graph-Visualization Ecosystem", "url": "https://ilievskiv.github.io/blog/2020-03-24-viz-tools-pt2-1/", "published_at": "2020-03-24T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621e7a75db", "title": "Interactive Graph Visualization at its Finest", "url": "https://ilievskiv.github.io/visualizations/2020-03-24-jdk-graphviz/", "published_at": "2020-03-24T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-8462102f4acc", "title": "JavaScript: Discover Different Visualization Tools - Part 1", "url": "https://ilievskiv.github.io/blog/2020-03-10-viz-tools-pt1/", "published_at": "2020-03-10T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84620f98237d", "title": "The importance of interactive data visualization", "url": "https://ilievskiv.github.io/blog/2020-02-08-interactive-dataviz/", "published_at": "2020-02-08T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84621d88bf5d", "title": "Parallel Coordinates Laptops Visualization", "url": "https://ilievskiv.github.io/visualizations/2020-02-08-parallel-coordinates/", "published_at": "2020-02-08T09:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84620eeb8507", "title": "Why doing Hackathons", "url": "https://ilievskiv.github.io/blog/2020-01-24-why-doing-hackathons/", "published_at": "2020-01-23T23:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84620e023d4f", "title": "Intro to Goal-Oriented (GO) Dialogue Systems", "url": "https://ilievskiv.github.io/blog/2017-10-14-go-chatbots-intro/", "published_at": "2017-10-15T12:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84620d6755ee", "title": "GSoC Final Submission", "url": "https://ilievskiv.github.io/blog/2017-08-20-final-submission/", "published_at": "2017-08-23T12:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84620cabf1d8", "title": "Deep Learning Module in TMVA", "url": "https://ilievskiv.github.io/blog/2017-08-20-deep-learning-module-tmva/", "published_at": "2017-08-20T12:00:00+00:00" }, { "id": "01a0d224-a561-73a7-ba2e-84620bd0649b", "title": "Google Summer of Code '17", "url": "https://ilievskiv.github.io/blog/2017-05-05-gsoc-start/", "published_at": "2017-05-06T12:00:00+00:00" }, { "id": "01a0d224-a562-70b8-8b75-be897b30d263", "title": null, "url": "https://ilievskiv.github.io/blog/", "published_at": null }, { "id": "01a0d224-a562-70b8-8b75-be897b769db2", "title": null, "url": "https://ilievskiv.github.io/contactme/", "published_at": null }, { "id": "01a0d224-a562-70b8-8b75-be897c6bf040", "title": null, "url": "https://ilievskiv.github.io/", "published_at": null }, { "id": "01a0d224-a562-70b8-8b75-be897cacfa65", "title": null, "url": "https://ilievskiv.github.io/sitemap/", "published_at": null }, { "id": "01a0d224-a562-70b8-8b75-be897cf64247", "title": null, "url": "https://ilievskiv.github.io/tags/", "published_at": null }, { "id": "01a0d224-a562-70b8-8b75-be897dd49c00", "title": null, "url": "https://ilievskiv.github.io/tips/", "published_at": null }, { "id": "01a0d224-a562-70b8-8b75-be897dfc4613", "title": null, "url": "https://ilievskiv.github.io/visualizations/", "published_at": null }, { "id": "01a0d224-a562-70b8-8b75-be897eb6f947", "title": null, "url": "https://ilievskiv.github.io/whoami/", "published_at": null } ] posts Claim your blog
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ilievskiv.github.io

2026

Apex Charts exampleoriginal ↗
5 May 2026
Graph Visualization with Cytoscapeoriginal ↗
5 May 2026
https://ilievskiv.github.io/assets/html/hiplot.htmloriginal ↗
5 May 2026
NVD3 Charts exampleoriginal ↗
5 May 2026
Plotly JS exampleoriginal ↗
5 May 2026
https://ilievskiv.github.io/googlee6602c26df4ce902.htmloriginal ↗
5 May 2026

2024

Beyond Personalization: How LLMs are Revolutionizing Recommendation Systemsoriginal ↗
12 Aug 2024

2023

Batch vs Layer Normalization in Deep Neural Nets. The Illustrated Way!original ↗
15 Mar 2023
Can ChatGPT differentiate and code it in Python? It seems so!original ↗
19 Feb 2023
The beauty of the Walrus Operator in Pythonoriginal ↗
12 Feb 2023
Can ChatGPT turn LaTeX equations into Python code?original ↗
7 Feb 2023
Make every line of your Python code to count with these 4 profilersoriginal ↗
6 Feb 2023
Convergence of T-distribution to Normal Distribution. Visualized!original ↗
30 Jan 2023
The 100-page ChatGPT Generated Python Tutorial For Absolute Beginnersoriginal ↗
29 Jan 2023
Understand high-dimensional data with three lines of codeoriginal ↗
26 Jan 2023
Focus on what instead of how to plot your dataoriginal ↗
26 Jan 2023
Make the learning curve of an ML model more informativeoriginal ↗
22 Jan 2023
I wish every data scientist had interactive data explorers like this one!original ↗
19 Jan 2023
Track the CO2 emissions of your Python code the same way you time it. Here is how!original ↗
17 Jan 2023
The Barnsley Fern: Ferns Seen as Fractals (not only as plants)original ↗
12 Jan 2023
Boiler plate code? Enter cht.sh command line!original ↗
11 Jan 2023
Understanding unix commands was never easer. Here's how!original ↗
11 Jan 2023

2021

Sierpiński Triangle: Fractal Christmas Treeoriginal ↗
23 Dec 2021
Neural Networks Hyperparameter Search, the Visualized Wayoriginal ↗
19 Dec 2021
Simple but Stunning: Animated Cellular Automata in Pythonoriginal ↗
2 May 2021
The holy grail of mathematics: animated visualization of the Riemann Zeta zerosoriginal ↗
25 Feb 2021
The new normal that changes the way we do AI. Here is how, with illustrated examplesoriginal ↗
14 Jan 2021

2020

Chaotic Beauty: Bifurcation Diagram Animation with Matplotliboriginal ↗
18 Nov 2020
Integrals are Fun: Illustrated Riemann-Stieltjes Integraloriginal ↗
1 Oct 2020
The Delicacy of Data Augmentation in Natural Language Processingoriginal ↗
7 Jul 2020
Animate Your Own Fractals in Python with Matplotliboriginal ↗
4 Jul 2020
Julia Set: Animate your own in Python with Matplotliboriginal ↗
27 Jun 2020
Visualized Koch Snowflake in Python with Matplotliboriginal ↗
15 Jun 2020
This is why the Mandelbrot sets are amazing!original ↗
11 Jun 2020
Calculation of the Circle's Area Explained Visuallyoriginal ↗
7 Jun 2020
Integrals are Easy: Visualized Riemann Integration in Pythonoriginal ↗
27 May 2020
Riemann Sumsoriginal ↗
27 May 2020
Reflection Principle of Brownian Motionoriginal ↗
22 May 2020
The million possible paths of a single random processoriginal ↗
19 May 2020
Forget Determinism, see Randomness in Action: How to Model Stock Priceoriginal ↗
17 May 2020
Pi Approximationoriginal ↗
17 May 2020
Zero Mean, Infinite Varianceoriginal ↗
17 May 2020
Random Walks Have Never Been Funnier: Drifted Brownian Motion in Pythonoriginal ↗
1 May 2020
Biased Brownian Motionoriginal ↗
1 May 2020
Volatile Brownian Motionoriginal ↗
1 May 2020
Animated Visualization of Brownian Motion in Pythonoriginal ↗
16 Apr 2020
Brownian Motion Constructionoriginal ↗
16 Apr 2020
Animated Visualization of Random Walks in Pythonoriginal ↗
12 Apr 2020
Simple Random Walkoriginal ↗
12 Apr 2020
JavaScript: Graph Visualization using Cytoscape JSoriginal ↗
25 Mar 2020
JavaScript: Discover the Graph-Visualization Ecosystemoriginal ↗
24 Mar 2020
Interactive Graph Visualization at its Finestoriginal ↗
24 Mar 2020
JavaScript: Discover Different Visualization Tools - Part 1original ↗
10 Mar 2020
The importance of interactive data visualizationoriginal ↗
8 Feb 2020
Parallel Coordinates Laptops Visualizationoriginal ↗
8 Feb 2020
Why doing Hackathonsoriginal ↗
23 Jan 2020

2017

Intro to Goal-Oriented (GO) Dialogue Systemsoriginal ↗
15 Oct 2017
GSoC Final Submissionoriginal ↗
23 Aug 2017
Deep Learning Module in TMVAoriginal ↗
20 Aug 2017
Google Summer of Code '17original ↗
6 May 2017

Undated

https://ilievskiv.github.io/blog/original ↗
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https://ilievskiv.github.io/contactme/original ↗
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https://ilievskiv.github.io/original ↗
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https://ilievskiv.github.io/sitemap/original ↗
—
https://ilievskiv.github.io/tags/original ↗
—
https://ilievskiv.github.io/tips/original ↗
—
https://ilievskiv.github.io/visualizations/original ↗
—
https://ilievskiv.github.io/whoami/original ↗
—