Search Results for "ns2 code with algorithm" - Page 2
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Showing 103 open source projects for "ns2 code with algorithm"
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cline
Command line tool for counting source code lines
cline is a command line tool that counts code lines or non-whitespace characters in your project folder. It is designed to recursively find any source file matching specific rules and count the line breaks within that file. You may specify file suffixes to include or exclude as well as regular expressions for code lines that shall be excluded (e.g. to exclude comments). By default a heuristic algorithm skips binary files. -
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Nyquist
Nyquist is a language for sound synthesis and music composition.
Nyquist is a language for sound synthesis and music composition. It is implemented in C and C++ and runs on Win32, OSX, and Linux. Nyquist combines a powerful functional programming style with efficient signal-processing primitives. Nyquist is also embedded as a scripting language in Audacity. -
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gendasm
Generic Code-Seeking Diassembler with Fuzzy-Function Analyzer
GenDasm is a Generic Code-Seeking Diassembler engine. It allows you to enter known starting vectors for a given code image for the micro. It will disassemble the code and follow through branches to assist in the separation of code and data. Its included Fuzzy Function Analyzer companion uses a DNA Sequence Alignment Algorithm to locate similar code in multiple binaries to facilitate reverse-engineering and/or code recovery. ... -
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[OFFICIAL] tinyfiledialogs C C++ v3.21.3
inputbox password WIN OSX GTK QT Console VCPKG C# Lua R Fortran Pascal
one C/C++ file & header ==> 8 functions: - beep - tray notify popup - message & question - input & password - save file - open file(s) - select folder - color picker complements OpenGL Vulkan GLFW GLUT GLUI VTK SFML TGUI SDL Ogre Unity3d ION OpenCV CeGui MathGL GLM CPW GLOW Open3D ImGui MyGui GLT NGL STB Nuklear Fenster MicroUi & head-less programs NO INIT NO MAIN LOOP NO LINKING NO INCLUDE win (XP to 11) ASCII MBCS UTF-8 UTF-16 (wchar_t) - native dialogs osx/unix... -
Searching for a better way to ship ecommerce? We can helpShipHero is built for multi-channel commerce. With a few clicks, you can connect your stores. ShipHero will download new products, as well as sync existing ones. When changes are made to your inventory all connected stores will be updated.
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Bandicoot
fast C++ library for GPU linear algebra & scientific computing
* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code... -
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Gait Tracking With x-IMU
Foot tracking algorithm demonstrated in Seb Madgwick's 3D Tracking
This repository provides the source code for a foot-tracking algorithm using an inertial measurement unit (IMU) attached to the foot, as demonstrated in Seb Madgwick’s “3D Tracking with IMU” video (March 2011). The method performs dead reckoning to integrate foot motion and corrects for drift at each foot strike (when the foot touches the ground) to reset error accumulation. -
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javascript-algorithms
JavaScript implementations of computer science algorithms
...It serves as a learning and reference resource for developers wanting to understand how standard algorithms can be expressed in JavaScript, bridging the gap between theoretical algorithm knowledge and practical implementation usable in web or Node.js contexts. Because algorithms are implemented in a language (JavaScript) many developers use daily, the repo becomes especially useful for students, interview-preparation candidates, or anyone wanting to learn algorithmic thinking without switching languages. The code tends to be readable, structured, and adapted to JavaScript idioms, making it easier to follow for JS developers. -
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Primus
An abstraction layer for real-time to prevent module lock-in
...Primus provides a common low level interface to communicate in real-time using various real-time frameworks. Effortless switching between real-time frameworks by changing one single line of code. No more API rewrites needed when your project requirements change, the framework gets abandoned or simply breaks down. Built-in reconnect, it just works. The reconnect is controlled by a randomised exponential back-off algorithm to reduce server stress. Offline detection, Primus is smart enough to detect when users drop their internet connection (switching WIFI points/cell towers for example) and reconnects when they are back online. -
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hello-algorithm
Algorithm training for Xiaobai
hello-algorithm is an educational repository designed to teach data structures and algorithms through clear explanations, visualizations, and code examples. It provides a structured learning path that covers fundamental concepts such as arrays, linked lists, trees, graphs, sorting algorithms, and dynamic programming. The project emphasizes understanding over memorization by breaking down complex topics into intuitive explanations supported by diagrams and examples. -
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.
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Robin-Stocks API Library
This is a library to use with Robinhood Financial App
...In addition, it can be used to get real-time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. The code is simple to use, easy to understand, and easy to modify. With this library, you can view information on stocks, options, and cryptocurrencies in real-time, create your own robo-investor or trading algorithm, and improve your programming skills. The supported APIs are Robinhood, Gemini, and TD Ameritrade. If you are contributing to this project and would like to use automatic testing for your changes, you will need to install pytest and pytest-dotenv. ... -
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Jadecy
Java lib to compute (code) deps, SCCs, and cycles (Johnson algorithm).
Jadecy (Java Dependencies and Cycles) is a Java library to compute dependencies (elements depended on, or depending), strongly connected components, and cycles, in general directed graphs, or classes or packages dependencies graphs parsed from class files (major version <= 52, else does best effort). It uses Tarjan's algorithm for SCCs computation, and Johnson's algorithm for exhaustive cycles computation, with continuations instead of recursion, which allows to handle large graphs (< 2^31 vertices). Since version 1.1, can also compute shortest cycles covering all edges of SCCs. Usage from command line is also possible but with reduced flexibility (cf. ... -
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Hashids
A small PHP library to generate YouTube-like IDs from numbers
Hashids is a small open-source library that generates short, unique, non-sequential ids from numbers. It converts numbers like 347 into strings like “yr8”, or array of numbers like [27, 986] into “3kTMd”. You can also decode those ids back. This is useful in bundling several parameters into one or simply using them as short UIDs. Hashids works similarly to the way integers are converted to hex, but with a few exceptions. The alphabet is not base16, but base base62 by default. The alphabet is... -
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Reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI
...The project collects popular approaches such as dynamic programming, Monte Carlo methods, temporal difference learning, Q-learning, SARSA, deep Q-networks, and policy gradient techniques, often demonstrated with Python and OpenAI Gym environments so users can experiment with agents learning in simulated tasks. For each algorithm category, the repository pairs conceptual descriptions with runnable code and often illustrated exercises that help solidify understanding by bridging theory with practice. It’s structured to serve learners progressing from basic tabular methods to function approximation and deep learning extensions, making it suitable for students, researchers, or practitioners exploring reinforcement learning fundamentals. -
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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. -
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go-algorithms
Algorithms and data structures for golang
...It includes a wide range of classic sorting, searching, and numerical algorithms alongside basic collection structures such as stacks, queues, linked lists, and binary trees. The repository is organized into clear directories by topic, making it easy for learners to explore specific categories of algorithms. Because the code focuses on clarity over heavy abstraction, it is especially useful for students and developers studying algorithmic fundamentals. Overall, go-algorithms serves as a practical reference and study companion for Go programmers building a strong foundation in data structures and algorithm design. -
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codeforces-go
Solutions to Codeforces by Go
Golang algorithm competition template library. Due to the complexity of algorithm knowledge points, it is necessary to classify the algorithms you have learned and the questions you have done. An algorithm template should cover the following points. Basic introduction to the algorithm (core idea, complexity, etc.) Reference links or book chapters (good material) Template code (can contain some comments, usage instructions) Template supplements (extra codes in common question types, modeling tips, etc.) ... -
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes... -
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Hyperledger Burrow
A permissioned Ethereum smart-contract blockchain node
Hyperledger Burrow is a permissioned Ethereum smart-contract blockchain node. It executes Ethereum EVM and WASM smart contract code (usually written in Solidity) on a permissioned virtual machine. Burrow provides transaction finality and high transaction throughput on a proof-of-stake Tendermint consensus engine. Burrow is a fully-fledged blockchain node and smart contract execution engine -- a distributed database that executes code. Burrow runs Ethereum Virtual Machine (EVM) and Web Assembly (WASM) smart contracts. ... -
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yafu
Automated integer factorization
Check yafu on github for the latest code. YAFU (with assistance from other free software) uses the most powerful modern algorithms (and implementations of them) to factor input integers in a completely automated way. The automation within YAFU is state-of-the-art, combining factorization algorithms in an intelligent and adaptive methodology that minimizes the time to find the factors of arbitrary input integers. -
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clzw
Implementation of LZW compression algorithm in C
Simple, fast implementation of LZW (Lempel–Ziv–Welch) data compression algorithm in C. - Console encoder/decoder tools - OS independent - Could be used in embedded projects - Works with raw code-stream LZW features: - Hardcoded dictionary size - Variable code size - Code search is performed by hash table and embedded in dictionary linked lists (encoder) - No dynamic memory allocation -
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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. -
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MADDPG
Code for the MADDPG algorithm from a paper
MADDPG (Multi-Agent Deep Deterministic Policy Gradient) is the official code release from OpenAI’s paper Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. The repository implements a multi-agent reinforcement learning algorithm that extends DDPG to scenarios where multiple agents interact in shared environments. Each agent has its own policy, but training uses centralized critics conditioned on the observations and actions of all agents, enabling learning in cooperative, competitive, and mixed settings. ... -
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RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like. -
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Carbon library
A declarative library for building component-based user interfaces
...Since components made with Carbon can be works directly on SwiftUI, the cost of future migration can be greatly reduced. Uses DifferenceKit which is highly optimized based on Paul Heckel’s paper for diffing. Declarative design and diffing algorithm make your code more predictable, debugging easier and providing beautiful animations to users. -
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Hyperapp
Tiny framework for building hypertext applications
...Write what, not how—With a declarative API that's easy to read and fun to write, Hyperapp is the best way to build purely functional, feature-rich, browser-based apps in JavaScript. Smaller than a favicon—1 kB, give or take. Hyperapp is an ultra-lightweight Virtual DOM, highly-optimized diff algorithm, and state management library obsessed with minimalism. Official packages provide access to The Web Platform, and ensure that the APIs are exposed in a way that makes sense for Hyperapp, and the underlying code is stable. We already cover a decent amount of features, but you can always create your own effects and subscriptions if something is not available yet.
