Search Results for "algorithms" - Page 2
Sort By:
Showing 141 open source projects for "algorithms"
View related business solutions-
Entity Management SoftwareAutomate everything: entity compliance, registered agent services, annual report and BOI filings, org charts, and DBA/fictitious name and business registration renewals, so you can focus on higher-value work.
-
Point of Sale. Powerful and Simple.Vibe Retail is an all-in-one retail point-of-sale and operations platform built for single-store and multi-location retailers seeking to unify inventory, sales, staff and customer data from one mobile-friendly interface. The system lets you track inventory across locations and warehouses, handle item variations (size, color, material), manage purchase orders and supplier deliveries, print custom barcodes, and transfer stock between stores in real time. On the sales side, Vibe supports multiple payment types (cards, cash, checks, gift cards, EBT), layaway workflows, serial number tracking, delivery management, loyalty programs and branded receipts. Retailers can integrate with online platforms (such as Shopify and WooCommerce), sync in-store and online sales, access 40+ real-time reports on sales, inventory and performance, set up promotions and discounts, and print receipts from mobile devices.
-
1
fe4ml-zh
Feature Engineering for Machine Learning
...The repository aims to make advanced feature engineering concepts accessible to a broader audience by translating the content and organizing it into readable documentation and code examples. Feature engineering is a critical component of machine learning pipelines because it determines how raw data is transformed into features that algorithms can use effectively. The project explains techniques for creating, selecting, and transforming features in ways that improve model accuracy and robustness. It also discusses the role of domain knowledge, data preprocessing, and statistical reasoning in building effective machine learning models. -
2
pseudocode.js
Beautiful pseudocode for the Web
...With or without LaTeX experience, a user should find the grammar fairly intuitive. The HTML output produced by pseudocode.js is (almost) identical to the pretty algorithms printed on publications that are typeset by LaTeX. Inserting math formulas in pseudocode.js is as easy as LaTeX. Just enclose the math expression in $...$ or \(...\). -
3
supercluster
A very fast geospatial point clustering library for browsers and Node
A very fast JavaScript library for geospatial point clustering for browsers and Node. supercluster supports property aggregation with the following two options. Map, a function that returns cluster properties corresponding to a single point. Reduce, a reduce function that merges properties of two clusters into one. -
4
LeetCode Python
LeetCode Solutions: A Record of My Problem Solving Journey
This repository is a comprehensive personal journal of LeetCode problem-solving journey. It includes detailed solutions with code, algorithm insights, data structure summaries, Anki flashcards, daily challenge logs, and future planning sections. -
Create a personalized AI chatbot for each team in minutesQueryPal is the lifeline your team needs. Our AI chatbot integrates seamlessly with your communication channels, using advanced language understanding to identify and auto-answer repetitive questions — in seconds.
-
5
ml5.js
Friendly machine learning for the web
A neighborly approach to creating and exploring artificial intelligence in the browser. ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies. -
6
Data Structures and Algorithms in JS
Data Structures and Algorithms explained and implemented in JavaScript
Are you a JavaScript developer looking to improve your craft? Then, this algorithms book is for you. This material contains the fundamental concepts to move your career to the next level. You will be able to solve problems faster in your day-to-day work and ace technical job interviews. Simply put, algorithms are several steps to solve a specific problem (e.g., sort number, search value, transform data, etc.). -
7
neurojs
A JavaScript deep learning and reinforcement learning library
...The library provides a full machine learning framework implemented in JavaScript that can run inside browsers or Node.js environments. It focuses particularly on reinforcement learning algorithms, enabling developers to create intelligent agents that learn through interaction with simulated environments. The framework supports neural network architectures and reinforcement learning methods such as deep Q-networks and actor-critic algorithms. Several interactive demonstrations included with the project illustrate how neural networks can be used to train agents in simulated tasks, including a browser-based self-driving car example. ... -
8
Free texture packer
Free texture packer
Free Texture Packer is a desktop tool for creating sprite sheets from individual images, ideal for game developers using engines like Phaser or Unity. It supports multiple export formats and efficient packing algorithms. -
9
Pwnagotchi
Deep Reinforcement learning instrumenting bettercap for WiFi pwning
Pwnagotchi is an A2C-based “AI” powered by bettercap and running on a Raspberry Pi Zero W that learns from its surrounding WiFi environment in order to maximize the crackable WPA key material it captures (either through passive sniffing or by performing deauthentication and association attacks). This material is collected on disk as PCAP files containing any form of handshake supported by hashcat, including full and half WPA handshakes as well as PMKIDs. Instead of merely playing Super Mario... -
OpenMetal is an automated bare metal and on-demand private cloud provider.OpenMetal is an automated bare metal and on-demand private cloud provider. Our mission is to empower your team with cost effective private infrastructure that outperforms traditional public cloud.
-
10
code-nav
Professional programming navigation
Programming Navigation is not just a website, but a complete ecology with the goal of "helping everyone discover high-quality programming resources and improve learning efficiency". It contains multiple sub-projects, and the technology stack includes React, Java SpringBoot, Tencent Cloud Development, etc., all of which are open source for everyone to learn, so that you can easily develop beautiful information navigation websites! Most of the programming navigation websites are in disrepair... -
11
CyC2018.github.io
Personal knowledge site built with GitHub Pages
This is a personal knowledge site built with GitHub Pages, organizing computer science notes and study materials in a browsable format. It aggregates content across algorithms, data structures, networking, operating systems, databases, and interview preparation into a coherent index. The presentation emphasizes succinct explanations paired with diagrams, tables, or code snippets to speed recall. Because the site is generated from a repository, it benefits from issue tracking, pull requests, and version history, making it easy to update and maintain. ... -
12
Supervised Reptile
Code for the paper "On First-Order Meta-Learning Algorithms"
The supervised-reptile repository contains code associated with the paper “On First-Order Meta-Learning Algorithms”, which introduces Reptile, a meta-learning algorithm for learning model parameter initializations that adapt quickly to new tasks. The implementation here is aimed at supervised few-shot learning settings (e.g. Omniglot, Mini-ImageNet), not reinforcement learning, and includes scripts to run training and evaluation for few-shot classification. -
13
Небольшая и быстрая библиотека написанная на javascript, которая генерирует псевдослучайные числа с практически непредсказуемым разбросом вероятности выпадения для каждого генерируемого числа, а также случайно динамическими границами диапазона псевдослучайной последовательности (для каждого генерируемого числа). Другими словами: эта библиотека ведет себя настолько не предсказуемо, что иногда выдает неопределенное значение (NaN) или бесконечность (Infinity), и почему это происходит не знает...
-
14
frontend-interview
The strongest front-end interview guide in the universe
This is a review summary project about preparing for front-end interviews that I have summarized, and the project is updated from time to time. This is not only a strategy for job interviews, but also a collection of front-end ers to examine themselves and achieve breakthroughs. I hope that through this guide, everyone can open up their own lines of Ren and Du, and go further on the road to the front. This warehouse uses a large number of diagrams to convey knowledge. The so-called picture... -
15
MapSCII
Braille & ASCII world map renderer for your console
...Or just use the supplied and optimized OSM2VectorTiles based one. Work offline and discover local VectorTile/MBTiles. Compatible with most Linux and OSX terminals. Highly optimized algorithms for a smooth experience. 100% pure JavaScript! Arrows up, down, left, right to scroll around. Press a or z to zoom in and out. Press c to switch to block character mode, and press q to quit. If your terminal supports mouse events you can drag the map and use your scroll wheel to zoom in and out. -
16
Manifold ML
A model-agnostic visual debugging tool for machine learning
Manifold is a model-agnostic visual debugging tool for machine learning. Understanding ML model performance and behavior is a non-trivial process, given the intrisic opacity of ML algorithms. Performance summary statistics such as AUC, RMSE, and others are not instructive enough to identify what went wrong with a model or how to improve it. As a visual analytics tool, Manifold allows ML practitioners to look beyond overall summary metrics to detect which subset of data a model is inaccurately predicting. Manifold also explains the potential cause of poor model performance by surfacing the feature distribution difference between better and worse-performing subsets of data. -
17
UltraDefrag
Increase your system performance with this easy to use tool
Please note, here you can find the latest open source release of UltraDefrag (7.1.4). The most recent UltraDefrag release (15.0.0) can be found on our official website: https://ultradefrag.net UltraDefrag is a disk defragmenter for Windows, which supports defragmentation of locked system files by running during the boot process. It is easy to use without any complicated scripting or a huge load of configuration settings. You can filter the files processed by size, number of fragments,... -
18
VivaGraph
Graph drawing library for JavaScript
...The library supports multiple rendering backends including SVG, WebGL, and Canvas, allowing developers to choose the best balance of performance and visual fidelity for their use case. Its layout algorithms help position nodes in aesthetically pleasing arrangements using force-directed simulations that adjust dynamically as the graph evolves. VivaGraphJS is modular, so you can extend or customize layouts, rendering, and interaction logic to fit specialized applications such as social network analysis, dependency mapping, or knowledge graphs. -
19
TheoremJS
A Math library for computation in JavaScript
...With TheoremJS, you won't feel the need of running the code on a server, you can run it right on the browser, or on a NodeJS notebook (Jupyter like). Even though we loose performances with BigNumber, our algorithms are well-engineered and ensure decent performances on every device. You can use TheoremJS for every project, ranging from doing your math homework to launching a rocket into deep space. (Ok, maybe if you're planning to launch a rocket into space, you might want to use other tools in addition to TheoremJS). -
20
mssolver
Automatic solver of a minesweeper game
This is an automatic algorithm, which solves a minesweeper game field -
21
Machine Learning Yearning
Machine Learning Yearning
Artificial intelligence, machine learning and deep learning are transforming numerous industries. Professor Andrew Ng is currently writing a book on how to build machine learning projects. The point of this book is not to teach traditional machine learning algorithms, but to teach you how to make machine learning algorithms work. Some technical courses in AI will give you a tool, and this book will teach you how to use those tools. If you aspire to be a technical leader in AI and want to learn how to set a direction for your team, this book will help. This book is still a sample draft. In order to make the corresponding Chinese content available to you as soon as possible, the translation time is rushed, and some of the content is inevitably oversight. ... -
22
OpenATPOL
A reference implementation of the Polish geobotanical grid
This project is a reference, open source implementation of the coordinate conversion algorithms for the Polish geobotanical grid called ATPOL. -
23
KAREL 3D WebGL
Children's learning programming language Karel the Robot in 3D
KAREL 3D written in JavaScript with WebGL is a children's programming language for teaching algorithms. This is later variant from Karel the Robot in 3D, created in 1986 for 8bit microcomputer PMD 85-2. Support full recursion, create new commands, complex commands with condition from dialog and direct control with keys, language translation. Objects: brick, wall, mark, fence. Check out the Wiki (here) for more examples and pictures. -
24
DeepTraffic
DeepTraffic is a deep reinforcement learning competition
DeepTraffic is a deep reinforcement learning simulation designed to teach and evaluate autonomous driving algorithms in a dense highway environment. The system presents a simulated multi-lane highway where an AI-controlled vehicle must navigate traffic while maximizing speed and avoiding collisions. Participants design neural network policies that determine the vehicle’s actions, such as accelerating, decelerating, changing lanes, or maintaining speed. -
25
sjcl
Stanford Javascript Crypto Library
The Stanford Javascript Crypto Library is a project by the Stanford Computer Security Lab to build a secure, powerful, fast, small, easy-to-use, cross-browser library for cryptography in Javascript. SJCL is small but powerful. The minified version of the library is under 6.4KB compressed, and yet it posts impressive speed results. SJCL is secure. It uses the industry-standard AES algorithm at 128, 192 or 256 bits; the SHA256 hash function; the HMAC authentication code; the PBKDF2 password...
