Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 6
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Showing 458 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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Inventory and Order Management Software for Multichannel SellersWe are the most powerful inventory and order management platform for Amazon, Walmart, and multichannel product sellers. Centralize orders, product information, and fulfillment operations to run more efficiently, sell more products, and stay compliant with marketplace requirements so you can grow profitably.
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A slightly reduced strength bulk encryption. In exchange for the reduced strength, you get the ability to rsync the encrypted files, so that local changes in the plaintext file will result in (relatively) local changes to the cyphertext file.
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TARQUIN
MRS/NMR analysis software
Analysis software for MRS/NMR data. Allows processing and fitting to be performed in a fully automatic workflow. -
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WOFF2
This document documents how to run the compression reference code
woff2 is Google’s reference implementation of the WOFF2 webfont format, the modern, highly compressed container used by browsers to ship OpenType/TrueType fonts efficiently over the network. It integrates specialized transforms for font tables (like glyf/loca and variations data) with Brotli compression to squeeze out as many bytes as possible while preserving exact font fidelity on decode. The repository includes a compact C/C++ library and small command-line tools so you can convert existing TTF/OTF files to WOFF2 and back for testing or build pipelines. Its encoder applies deterministic, spec-compliant transformations that maximize compressibility without altering rendering results, making it safe for production web delivery. ... -
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This site hosts the source code for C++ version of the Broker for SBW, NOM module, advanced simulation suite, analysis applications and model editors.
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Comet Backup - Fast, Secure Backup Software for MSPsComet is a flexible backup platform, giving you total control over your backup environment and storage destinations.
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Latin Square Toolbox
Generates Latin squares and counts their transversals
The Latin Square Toolbox contains software tools for efficiently generating Latin squares and counting their transversals with various user-configurable options. This open source release aims to help educate folks on Latin squares and their important applications to cryptography. This version contains three tools: 0. Latin Square Generator (LSG) 1. Latin Square Transversal Counter (LSTC) 2. Latin Square Property Checker (LSPC) -
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leet
Leet is CCEx's software application for on-the-fly encryption (OTFE).
...The goal of leet however is to be simpler and as user friendly as possible, making encryption and securing of information accessible to anybody, even those who don't necessarily have any prior knowledge of data securing, algorithms and encryption. However it's not targeted at this group of users only, part of the ambition of this project is to reach companies, institutions, governments (etc...) as well. -
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cds
Concurrent Data Structure library
CDS (Concurrent Data Structures) is a C++ template library of lock-free and fine-grained lock-based algorithms. It contains a collection of concurrent data structures: queues, stacks, sets, maps, etc, and safe memory reclamation schema for concurrent containers - Hazard Pointer and user-space RCU. See doxygen doc http://libcds.sourceforge.net/doc/cds-api/index.html. -
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Creates an index to DBF files using a B+ Tree; Cria um indice para um arquivo DBF usando uma arvore B+; Implementação em C; Baseada em Arquivo;
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The Edge Machine Learning library
Machine learning algorithms for edge devices
Machine learning models for edge devices need to have a small footprint in terms of storage, prediction latency, and energy. One instance of where such models are desirable is resource-scarce devices and sensors in the Internet of Things (IoT) setting. Making real-time predictions locally on IoT devices without connecting to the cloud requires models that fit in a few kilobytes.These algorithms can train models for classical supervised learning problems with memory requirements that are orders of magnitude lower than other modern ML algorithms. ... -
The AI-powered unified PSA-RMM platform for modern MSPs.SuperOps.ai is the only PSA-RMM platform powered by intelligent automation and thoughtfully crafted for the new-age MSP. The platform also helps MSPs manage their projects, clients, and IT documents from a single place.
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CognitionMaster
object-based image analysis framework
Wienert S, Heim D, Kotani M, Lindequist B, Stenzinger A, Ishii M, Hufnagl P, Beil M, Dietel M, Denkert C, Klauschen F. CognitionMaster: an object-based image analysis framework. Diagn Pathol 2013, 8:34 -
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LEAN
Lean algorithmic trading engine by QuantConnect
...Use combinations of margin, fill, and slippage models to simulate a liquidity endpoint. 100+ popular technical indicators built, tested, and ready for use. Applicable to any data source. -
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CRUSH
Data reduction and imaging for select astronomical cameras
CRUSH is a pioneering reduction and imaging suite for many astronomical cameras operating at far-infrared, submillimeter and millimeter wavelengths, such as SHARC-2, SCUBA-2, LABOCA, GISMO, or SOFIA/HAWC+ (to name a few). -
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EntOpt Layout
Relative entropy optimization network layout plugin
The goal of this project is to implement a graph layout / network visualization algorithm as a Java plugin for Cytoscape (http://cytoscape.org/), using a recently published relative entropy optimization based method, called Unified Data Representation (Kovács IA et al. Sci Rep. 2015). If you are using the plugin, please cite: Ágg B, Császár A, Szalay-Bekő M, Veres DV, Mizsei R, Ferdinandy P, Csermely P and Kovács IA (2019) The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networks, Bioinformatics 35(21):4490-4492 https://academic.oup.com/bioinformatics/article/35/21/4490/5475596 Our detailed Tutorial on the use of the plugin: https://suopte.com/entopt_2_1_tutorial_20200518.pdf A video about the version 2.1: http://suopte.com/entopt_2_1_tutorial_video.mp4 Don't hesitate to send any questions, comments or bug reports also to agg.bence {at} med.semmelweis-univ.hu. -
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PadotusRNDT.js
This library allows you to generate a random number
This library allows you to generate a random number in the specified range from 0 to n, without using the built-in function Math.random (), and gets a random number from the processing time of polymorphic mathematical calculations, which depends on the current physical parameters of the CPU, RAM, and t .P. The resulting sequence corresponds to a discrete uniform distribution and is close to natural random sequences in terms of statistical randomness tests (LFSR, Approximate Entropy, DIEHARD Test). -
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TOL
Total Order Labeling for Reachability Queries on Large Dynamic Graphs
This is the code used in the following paper: Andy Diwen Zhu, Wenqing Lin, Sibo Wang, and Xiaokui Xiao. Reachability queries on large dynamic graphs: a total order approach. In Proceedings of the 2014 ACM SIGMOD international conference on Management of data (SIGMOD '14). Please cite the paper if you choose to use the code. -
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Dwifft!
Dwifft is a small Swift library
Dwifft is a small Swift library that tells you what the "diff" is between two collections, namely, the series of "edit operations" required to turn one into the other. It also comes with UIKit bindings, to automatically, animatedly keep a UITableView/UICollectionView in sync with a piece of data by making the necessary row/section insertion/deletion calls for you as the data changes. Dwifft is a Swift library that does two things. The first thing sounds interesting but perhaps only abstractly useful, and the other thing is a very concretely useful thing based off the first thing. It can help you build a substantially better user experience if you have table/collection views with dynamic content in your app. ... -
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OpenANN
Basic Artificial Neural Network
OpenANN is a basic artificial neural network toolset. It is not being actively maintained. For performance neural networking, consider an alternative (such as https://sourceforge.net/projects/openann-project or https://www.tensorflow.org) -
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...The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
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ipytracer
Algorithm Visualizer for IPython/Jupyter Notebook
Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification. -
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Illustrated Algorithms
Interactive algorithm visualizations
Inspired by Grokking Algorithms and python-execution-trace, this project aims to reveal the mechanics behind algorithms via interactive visualizations of their execution. Visual representations of variables and operations augment the control flow, alongside actual source code. You can fast forward and rewind the execution to closely observe how an algorithm works. The same code that is displayed next to the illustration is also decorated using babel-plugin-trace-execution and executed to... -
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Hyacc is an efficient and practical Yacc/Bison-compatible full LR(1)/LALR(1)/LR(0) and partial LR(k) parser generator in ANSI C based on Knuth and Pager's LR(1) algorithms. Generated parser can be used in open-source or commercial software.
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GAKNN is a data mining software for gene annotation data. GAKNN is built with k- Nearest Neighbour algorithm optimized by the genetic algorithm. Gene annotation datasets saved under .csv or .arff formats with Gene Ontology or FunCat categorization can use GAKNN to predict gene functions.
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Algorithms in Python
Data Structures and Algorithms in Python
Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems. The repository is particularly useful for people preparing for competitive programming, job interviews, or building a foundational understanding of algorithmic patterns. ... -
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React Fiber Architecture
A description of React's new core algorithm, React Fiber
...This enables advanced features such as interruptible rendering, prioritization of updates, and smoother user interfaces during complex operations. It also introduces the concept of fibers as data structures representing units of work that can be paused, resumed, or reused. The project is especially valuable for developers who want to understand React’s performance model and concurrency features at a low level. -
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Algorithm Database
Efficient Algorithms implemented in Java
...Objective here is to implement algorithms which should be more efficient than the JDK implementation and also to create a platform for the researchers who works on Data Mining, Encryption algorithms, ect.. to collaborate and contribute to this project.
