Search Results for "ns2 code with algorithm" - Page 5
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Showing 366 open source projects for "ns2 code with algorithm"
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LEACrypt
TTAK.KO-12.0223 Lightweight Encryption Algorithm Tool
...LEA is included in the ISO/IEC 29192-2:2019 standard (Information security - Lightweight cryptography - Part 2: Block ciphers). This project is licensed under the ISC License. Copyright © 2020-2021 ALBANESE Research Lab Source code: https://github.com/pedroalbanese/leacrypt Visit: http://albanese.atwebpages.com -
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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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Python ML Jupyter Notebooks
Practice and tutorial-style notebooks
...The project provides numerous examples and tutorials covering classical machine learning techniques such as regression, classification, clustering, and dimensionality reduction. It includes code implementations that show how to build models using popular libraries like scikit-learn, NumPy, pandas, and Matplotlib. The repository is designed to help learners understand both the theory and practical implementation of machine learning algorithms through step-by-step code examples. Many notebooks include explanations of algorithm behavior, data preparation techniques, and evaluation methods for machine learning models. ... -
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Ravencoin
Ravencoin Core integration/staging tree
Ravencoin is a protocol based on a fork of the Bitcoin code which adds features specifically focused on allowing tokens to be issued on the Ravencoin blockchain. These tokens can have whatever properties the issue of the token decides - so they can be limited in quantity, named, and be issued as securities or as collectibles. Ravencoin is a digital peer-to-peer network that aims to implement a use case-specific blockchain, designed to efficiently handle one specific function: the transfer of... -
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Reinforcement Learning Methods
Simple Reinforcement learning tutorials
Reinforcement-Learning-with-TensorFlow is an educational repository that walks through key reinforcement learning algorithms implemented in TensorFlow. It provides clear code examples for foundational techniques like Q-learning, policy gradients, deep Q-networks, actor-critic methods, and value function approximation within familiar simulation environments. Each algorithm is structured with readable code, explanatory comments, and corresponding environment interaction loops so learners can easily trace how actions, rewards, and model updates connect. ... -
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GMSM Toolkit ☭
Cross-platform GMSM Security Suite written in Go
GMSM Toolkit v1.2.3 ☭ Multi purpose cross-platform cryptography tool for asymmetric/symmetric encryption, cipher-based message authentication code (CMAC), recursive hash digest, hash-based message authentication code (HMAC) and PBKDF2 function. SM2/SM3/SM4 Chinese National Standard Algoritms: • GM/T 0003-2012 - SM2 Public key algorithm 256-bit. • GM/T 0004-2012 - SM3 Message digest algorithm. 256-bit hash value. • GM/T 0002-2012 - SM4 Symmetric block cipher with 128-bit key. ... -
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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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Tech Interview Handbook
Curated coding interview preparation materials
Tech Interview Handbook is a curated, mostly self-contained compilation of technical interview preparation resources—including algorithms, system design, resume tips, and behavioral questions—crafted for busy software engineers. The information in this repository is condensed. Ultimately, the key to succeeding in technical interviews is consistent practice and I don't want to bore you with too many words. I tell you the minimum you need to know on how to go about navigating the interview... -
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SM3SUM(2)
Command-line GM/T 0004-2012 SM3 Recursive Hashsum Tool
This new module can be used to compute SM3 message digest of files or memory blocks according to the specification GM/T 004-2012 Cryptographic Hash Algorithm SM3, published by State Encryption Management Bureau, China. This project is licensed under the ISC License. Copyright © 2020-2022 ALBANESE Research Lab Source code: https://github.com/pedroalbanese/sm3sum Visit: http://albanese.atwebpages.com -
Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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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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LeetCode Animation
Demonstrate all the questions on LeetCode in the form of animation
LeetCodeAnimation is an educational open source project by MisterBooo that visually demonstrates algorithm problems from LeetCode through animations. The goal of the project is to help learners understand complex algorithmic concepts intuitively by showing step-by-step animated explanations instead of relying solely on static code or text. Each animation corresponds to a specific problem and illustrates how data structures and algorithms operate dynamically, making it easier to grasp their underlying logic. ... -
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TSNE-CUDA
GPU Accelerated t-SNE for CUDA with Python bindings
This repo is an optimized CUDA version of FIt-SNE algorithm with associated python modules. We find that our implementation of t-SNE can be up to 1200x faster than Sklearn, or up to 50x faster than Multicore-TSNE when used with the right GPU. You can install binaries with anaconda for CUDA version 10.1 and 10.2 using conda install tsnecuda -c conda-forge. Tsnecuda supports CUDA versions 9.0 and later through source installation, check out the wiki for up to date installation instructions.... -
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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... -
15
2D Heat Transfer in .C
2D Heat Numerical Heat Transfer Solver
PLEASE NOTE: There is a complete installer available if you do not have CVI installed. If you do have it, you can simply download the source files and run them. The following program was built as a final evaluation project for Programming for Mechatronics Course for my BSc. in Mechanical Engineering. This solver is based around the Gauss-Seidel algorithm for 2D heat transfer for pre-determined boundary conditions (i.e. user defined temperatures). I hope this project will be useful for... -
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pianoscore_chung
a bass.dll virtual piano new version of midiscore_chung
pianoscore chung is a free bass.dll virtual piano mypiano as midiout new version of midiscore_chung step by step midi composition program . Is a small program for easy step by step compose record edit midi music song with optional quantize using a midi keyboard entering play chord and control with some piano keys and save / load from pc or export / import as midifile . It uses bassdll bass.dll lib in small simple mypiano_chung virtual acoustic piano recorded on Isabelle's real upright... -
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MAGeCK
Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout
Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology. For instructions and documentations, please refer to the wiki page. MAGeCK is developed by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Dana-Farber Cancer Institute/Harvard School of Public Health, and is maintained by Wei Li lab at Children's National Medical Center. We thank the support... -
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JSONCrush
Compress JSON into URL friendly strings
This simple system allows for excellent compression of uri encoded JSON strings using the JSCrush algorithm. -
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DreamTime
Use artificial intelligence to create images
...Open files or folders from your computer, you can also open files from Instagram and the web. Vitamined with editing tools for any case, you can also make the process fully automatic. Powerful working method that allows you to edit the algorithm step by step and obtain results that only a human could achieve. -
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Jasmine
Super fast Java aexpression and algorithm evaluator
V1.0.1 fully compatible with PS2 and 3. Jasmine uses the ASM byte code manipulation library (http://asm.ow2.org/) to create Java byte code to evaluate numerical expressions and algorithms. Evaluation of compiled expressions is very fast, in most cases it is faster than the equivalent byte code produced by the Java compiler (javac). -
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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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Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
Machine-Learning is a repository focused on practical machine learning implementations in Python, covering classic algorithms like k-Nearest Neighbors, decision trees, naive Bayes, logistic regression, support vector machines, linear and tree-based regressions, and likely corresponding code examples and documentation. It targets learners or practitioners who want to understand and implement ML algorithms from scratch or via standard libraries, gaining hands-on experience rather than relying... -
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playqt
GUI version of ffplay for Windows
...The source code is open and available here. It may be compiled using the contrib library provided along with Qt6, MSVC 2019 and NVIDIA cuda development library. -
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KISA Toolkit
Korea Internet & Security Agency's Cipher Suite written in Go
...The Korea Internet & Security Agency (KISA) is distributing source codes that you can easily use. South Korean National Standard Algorithms: • LSH Message digest algorithm. 256/512-bit hash value. • ARIA 128-bit Block cipher with 128/192/256-bit keys. • LEA 128-bit Block cipher with 128/192/256-bit keys. • SEED 128-bit Block cipher with 128/256-bit keys. • HIGHT 64-bit Block cipher with 128bit key. Cryptographic Functions: • Symmetric Encryption/Decryption • Hash Digest • CMAC (Cipher-based message authentication code) • HMAC (Hash-based message authentication code) • PBKDF2 (Password-based key derivation function 2) Copyright (c) 2020-2021 Pedro Albanese - ALBANESE Lab Visit: http://albanese.atwebpages.com -
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tensorflow_template_application
TensorFlow template application for deep learning
tensorflow_template_application is a template project that demonstrates how to structure scalable applications built with TensorFlow. The repository provides a standardized architecture that helps developers organize machine learning code into clear components such as data processing, model training, evaluation, and deployment. Instead of focusing on a specific algorithm, the project emphasizes software engineering practices that make machine learning systems easier to maintain and extend. The template includes configuration files, scripts, and project structures that help teams build reproducible experiments and production-ready pipelines. ...
