Search Results for "ns2 code with algorithm" - Page 4
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Showing 320 open source projects for "ns2 code with algorithm"
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MTCNN Face Detection Alignment
Joint Face Detection and Alignment
MTCNN_face_detection_alignment is an implementation of the “Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks” algorithm. The algorithm uses a cascade of three convolutional networks (P-Net, R-Net, O-Net) to jointly detect faces (bounding boxes) and align facial landmarks in a coarse-to-fine manner, leveraging multi-task learning. Non-maximum suppression and bounding box regression at each stage. The repository includes Caffe / MATLAB code, support scripts, and instructions for dependencies. ... -
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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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PY-Nodes
Code for finding nodes in a material using first-principle approach.
...The algorithm of the code is based on the Nelder-Mead’s function-minimization approach. The code minimizes the function f(k), which is defined as sum of the absolute energy difference of the adjacent pairs of bands at a given k-point. Please cite the paper mentioned below while using the PY-Nodes code for your research. V. Pandey and S.K. -
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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 -
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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.... -
All-in-one security tool helps you prevent ransomware and breaches.Blumira’s detection and response platform enables faster resolution of threats to help you stop ransomware attacks and prevent data breaches. We surface real threats, providing meaningful findings so you know what to prioritize. With our 3-step rapid response, you can automatically block known threats, use our playbooks for easy remediation, or contact our security team for additional guidance. Our responsive security team helps with onboarding, triage and ongoing consultations to continuously help your organization improve your security coverage.
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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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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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Cuda Simulated Annealing GPU Route Plan
An Optimized GPU-Accelerated Route Planning of Multi-UAV Systems Using
...In addition to this, parallel programming approaches increase the computation performance. Therefore, this study focuses to discuss and solve the route planning problem for multi-UAV systems by using optimization techniques based on an evolutionary algorithm: simulated annealing. The travel cost and execution time are downsized in this work by optimization on algorithm and code. We implemented CPU based parallel solution to compare results with the GPU-accelerated one. The efficiency and the effectiveness of our parallelized and optimized solution -
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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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asBezpch
Source code for efficiently rendering parametrically defined surfaces
Source code and generated images from my 1987 master's degree project: An Adaptive Subdivision Algorithm for the Display of Parametrically Defined Surfaces -
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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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AmPEP and AxPEP
Sequence-based Antimicrobial Peptide Prediction by Random Forest
Antimicrobial peptides (AMPs) are promising candidates in the fight against multidrug-resistant pathogens due to its broad range of activities and low toxicity. However, identification of AMPs through wet-lab experiment is still expensive and time consuming. AmPEP is an accurate computational method for AMP prediction using the random forest algorithm. The prediction model is based on the distribution patterns of amino acid properties along the sequence. Our optimal model, AmPEP with 1:3... -
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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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Algorithmic Pseudocode
This repository contains the pseudocode(pdf) of various algorithms
This repository contains the pseudo-code of various algorithms and data structures necessary for Interview Preparation and Competitive Coding. The pseudocodes are written such that they can be easily adapted to any language. Let us remove the clutter of language and focus on the core concepts of the question. -
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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.
