Publications
My GitHub project trekhleb/js-image-carver is mentioned as an implementation example in the Wikipedia article about the Seam Carving algorithm.
A closer look at X’s API: fetching data, linking entities, and solving under-fetching.
My article about the API design of X (Twitter) home timeline has been included to TLDR Newsletter.
My GitHub project trekhleb/javascript-algorithms has been included to JavaScript Weekly newsletter issue #709
System design sketches for popular system design interview questions.
My GitHub project trekhleb/javascript-algorithms has been included to JavaScript Weekly newsletter issue #652
Published on Hacker News frontpage. The link leads to the Hacker News archive for that day where the mention can be found.
My GitHub project trekhleb/javascript-algorithms has been included to JavaScript Weekly newsletter issue #633
My okso.app drawing app is mentioned in the TechCrunch article related to TLDraw app
My GitHub project trekhleb/js-image-carver has been included to JavaScript Weekly newsletter issue #618
Published on Hacker News frontpage. The link leads to the Hacker News archive for that day where the mention can be found.
My okso.app has been mentioned in the Changelog podcast #6
The article discusses the growth and challenges of open-source development in Ukraine, highlighting notable Ukrainian contributors and projects, the community's role in fostering collaboration, and how open-source tools are being leveraged to support Ukraine
JavaScript implementation of so-called Seam Carving algorithm for content-aware image resizing
My GitHub project trekhleb/javascript-algorithms is mentioned as an implementation example in the MDN Web Docs article.
Published on Hacker News frontpage. The link leads to the Hacker News archive for that day where the mention can be found.
Published on Hacker News 2nd page. The link leads to the Hacker News archive for that day where the mention can be found.
My article about the "Genetic algorithm learns how to park a car" has been mentioned in this Towards Data Science publication.
Published on Hacker News 2nd page. The link leads to the Hacker News archive for that day where the mention can be found.
Training the car to do self-parking using a genetic algorithm
Published on Hacker News 2nd page. The link leads to the Hacker News archive for that day where the mention can be found.
Interactive example of how the floating-point numbers like -27.156 are stored in binary format in a computer's memory
JavaScript implementation of so-called Seam Carving algorithm for the content-aware image resizing and object removal. A dynamic programming approach is applied to optimize the resizing time.
Published on Hacker News frontpage. The link leads to the Hacker News archive for that day where the mention can be found.
My GitHub project trekhleb/js-image-carver has been included to JavaScript Weekly newsletter issue #535
Published on Hacker News frontpage. The link leads to the Hacker News archive for that day where the mention can be found.
JavaScript implementation of so-called Seam Carving algorithm for the content-aware image resizing and object removal. A dynamic programming approach is applied to optimize the resizing time.
In this article I'm solving the issue of making the printed links (i.e. in a book or in a magazine) clickable via your smartphone camera. We will use TensorFlow 2 Object Detection API to train a custom object detector model to find positions and bounding boxes of the sub-strings like https:// in the text image (i.e. in smartphone camera stream).
In this article I'm solving the issue of making the printed links (i.e. in a book or in a magazine) clickable via your smartphone camera. We will use TensorFlow 2 Object Detection API to train a custom object detector model to find positions and bounding boxes of the sub-strings like https:// in the text image (i.e. in smartphone camera stream).
7 simple JavaScript functions that will give you a feeling of how machines can actually “learn”.
A character-level LSTM (Long short-term memory) RNN (Recurrent Neural Network) is trained on ~100k recipes dataset using TensorFlow. The model suggested the recipes "Cream Soda with Onions", "Puff Pastry Strawberry Soup", "Zucchini flavor Tea", and "Salmon Mousse of Beef and Stilton Salad with Jalapenos". Yum!? Follow along this detailed guide with code to create your own recipe-generating chef.
Pass your algorithms interview with confidence by learning data structures and algorithms in JavaScript. The book should help engineers to better prepare for tech interviews.
A collection of interactive machine-learning experiments. Each experiment consists of Jupyter/Colab notebook (to see how a model was trained) and demo page (to see a model in action right in your browser).
Published on Hacker News 2nd page. The link leads to the Hacker News archive for that day where the mention can be found.
This article contains details of how the recipes generator LSTM model may be trained trained on Python using TensorFlow 2 with Keras API.
About my work, workspace organization, useful tools, life hacks and how I learn new technologies on my pet projects.
A collection of interactive machine-learning experiments. Each experiment consists of Jupyter/Colab notebook (to see how a model was trained) and demo page (to see a model in action right in your browser).
Published on Hacker News frontpage. The link leads to the Hacker News archive for that day where the mention can be found.
In this article I'm explaining how to create React usePosition() hook to fetch and follow browser’s location.
This article is my attempt to summarize common technical interview process steps and to collect in one place some useful insights from recruiters that they normally send to applicants before the interviews.
Article about the project that contains examples of popular machine learning algorithms implemented in Python with mathematics behind them being explained.
My GitHub project trekhleb/javascript-algorithms has been included to JavaScript Weekly newsletter issue #417 (Top code and tools of 2018)
Article about the project that contains examples of popular machine learning algorithms implemented in Python with mathematics behind them being explained.
Article about the project that contains examples of popular machine learning algorithms implemented in Python with mathematics behind them being explained.
MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics behind them being explained.
In this article I’m trying to explain the difference/similarities between dynamic programming and divide and conquer approaches based on two examples: binary search and minimum edit distance (Levenshtein distance).
Collection of Python scripts that are split by topics and contain code examples with explanations.
Published on Hacker News frontpage. The link leads to the Hacker News archive for that day where the mention can be found.
How to stay productive and to be open to new opportunities (career developing).
This article briefly describes the difference between mathematical permutations and combinations, explains the main idea behind permutations and combinations algorithms and contains links to algorithms implementation in JavaScript.
In this article I’m trying to explain the difference/similarities between dynamic programming and divide and conquer approaches based on two examples: binary search and minimum edit distance (Levenshtein distance).
Published on Hacker News frontpage. The link leads to the Hacker News archive for that day where the mention can be found.
Algorithms and data structures implemented in JavaScript with explanations and links to further readings.