Search Results for "algorithm" - Page 24
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Showing 2943 open source projects for "algorithm"
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Smart Algorithm
Repository implementing a variety of intelligent algorithms
Smart-Algorithm is a repository implementing a variety of intelligent / metaheuristic optimization algorithms (e.g. Genetic Algorithm, Ant Colony, Particle Swarm, Immune Algorithm). The implementations are provided in multiple languages (Java, Python, MATLAB). The repository’s aim is to offer reference implementations of “smart” algorithms for tasks like route planning, optimization, or algorithm learning. -
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XZ Utils for Windows
XZ is free data compression software with a high compression ratio
...XZ Utils are the successor to LZMA Utils. The core of the XZ Utils compression code is based on LZMA SDK, but it has been modified quite a lot to be suitable for XZ Utils. The primary compression algorithm is currently LZMA2, which is used inside the .xz container format. With typical files, XZ Utils create 30 % smaller output than gzip and 15 % smaller output than bzip2. -
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TOTP Database
TOTP server side algorithm
calculate TOTP using database stored procedures allowing you to validate a user's entered TOTP with a stored secret. Cooperates with all authorization apps that calculate a TOTP using SHA1 encryption -
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Geophysical Library is a C++-library to handle geophysical data. At the moment the focus is on magnetotelluric and seismic data. It also includes a genetic algorithm for data inversion, signal processing and statistics routines.
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xxhsum for Windows
xxhsum 0.8.0 - print or check xxHash non-cryptographic checksums
...Differences are: xxhsum doesn´t have text/binary mode switch (-b, -t); xxhsum always treats files as binary files; xxhsum has a hash bit width switch (-H); As xxHash is a fast non-cryptographic checksum algorithm, xxhsum should not be used for security related purposes. -
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SAR Synthetic Aperture Radar
Collection of MATLAB codes, simulations, and summaries
This repository is a collection of MATLAB codes, simulations, and summaries related to Synthetic Aperture Radar (SAR), InSAR, and PolSAR. The author compiled implementations of classic SAR imaging algorithms (e.g. Range-Doppler (RD) algorithm, Chirp Scaling (CS) algorithm), synthetic scenes, InSAR (interferometric) simulation including multiple terrain types (flat, conical), and polarization calibration techniques (Whitt, PARC, Quegan, Ainsworth). The readme states that these were research/learning codes, with experiments and reports, and no further maintenance is expected. ... -
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Consistent Depth
We estimate dense, flicker-free, geometrically consistent depth
Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. ... -
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DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. -
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ML.NET Samples
Samples for ML.NET, an open source and cross-platform machine learning
...The ML.NET CLI (command-line interface) is a tool you can run on any command prompt (Windows, Mac or Linux) for generating good quality ML.NET models based on training datasets you provide. In addition, it also generates sample C# code to run/score that model plus the C# code that was used to create/train it so you can research what algorithm and settings it is using. -
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Ank Zipper
A free and easy-to-use password protected file archiver
...Ank Zipper can compress both files and folders and create password-protected archives, in order to prevent unauthorized access to important files. Additionally, it can be used for extracting or simply browsing ZIP files.It includes AES(Advanced Encryption Standard) algorithm to encrypt/decrypt file(s). Ank Zipper is a cross-platform software that can be used on any platform that features Java compatibility (e.g. Mac OS X, Linux, Windows). -
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lzhw
LZHW Windows command line lossless compression tool for tabular files
LZHW Command Line Lossless Compression Tool is a Windows command line tool used to compress and decompress files from and to any form, csv, excel etc without any dependencies or installations. Using an optimized algorithm (LZHW) developed from Lempel-Ziv, Huffman and LZ-Welch algorithms. The tool can work in parallel and most of its code is written in Cython, so it is pretty fast. It is based on python lzhw library. Full tool documentation can be found at: https://mnoorfawi.github.io/lzhw/6%20Using%20the%20lzhw%20command%20line%20tool/ While the documentation for the python library is at: https://mnoorfawi.github.io/lzhw/ -
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CNN Explainer
Learning Convolutional Neural Networks with Interactive Visualization
...For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own learnable weights and biases. Let’s break down a CNN into its basic building blocks. A tensor can be thought of as an n-dimensional matrix. In the CNN above, tensors will be 3-dimensional with the exception of the output layer. ... -
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Maxwell's-equations-derived-optimization
This project provide an open-source matlab code for MEDO.
...According to the numerical tests, MEDO is proved to an effective optimization algorithm for both unimodal and multimodal functions. This version is created with MATLAB R2017a. -
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Computer Vision Pretrained Models
A collection of computer vision pre-trained models
...A pre-trained model may not be 100% accurate in your application. For example, if you want to build a self-learning car. You can spend years building a decent image recognition algorithm from scratch or you can take the inception model (a pre-trained model) from Google which was built on ImageNet data to identify images in those pictures. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone. TensorFlow implementation of 'YOLO: Real-Time Object Detection', with training and an actual support for real-time running on mobile devices. ... -
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Relative Overestimation VOP
VOP compression for MRI with overestimation control
...For better compression and speed use these: ***** https://github.com/sOrzada/VOP_Compression Virtual Observation Points SAR compression. Contains multiple Algorithms: Compression according to Eichfelder et al. and Lee et al. The Lee algorithm is enhanced by including overestimation control to reduce maximum relative overestimation. All algorithms are implemented in Matlab and were optimized for enhanced speed. Needs Matlab R2016b at least. Prefer R2018b or newer. ***** This work is outdated and is here for reference purpose, only. ***** If you are looking for improved SAR-compression algorithms, visit: https://sourceforge.net/projects/enhanced-sar-compression/ -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than... -
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LoopMatcher
Find sequence-specific stem-loops in FASTA and GenBank files.
LoopMatcher is a bioinformatics tool that searches for hairpin structures in cDNA / mRNA sequences (in FASTA, GenBank or Vienna format) with specific consensus sequences in the loop. It uses RNAfold to predict sequence structure and UShuffle to generate random sequences with a defined k nucleotide frequency. Also, sequences in GenBank format can be downloaded directly from NCBI using the NCBI access ID. Requirements JAVA Runtime 8. It's highly recommended to have a multicore processor... -
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Seshat Naming and Balancing Service
Extended COS Naming and Balancing Service
...If you look up a balanced group you will transparently get a reference to an object in the group. The members of a group can be delivered either using a round robin or a random algorithm. The service uses Spring Security Framework for access control and can be configured to use any Authentication Authorization system supported by the Spring Security Framework. -
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SmillaEnlarger is a small graphical tool ( based on Qt ) to resize, especially magnify bitmaps in high quality. ( The used algorithm is an invention of my own )
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Jobber
An alternative to cron, with sophisticated status-reporting
...Sophisticated error handling: you can control whether and when a job is run again after it fails. For example, after an initial failure of a job, Jobber can schedule future runs using an exponential backoff algorithm. Sophisticated error reporting: you can control whether Jobber notifies you about each failed run, or only about jobs that have been disabled due to repeated failures. -
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Pack-Print-Cut
Packing two dimensional rectangular elements at orthogonal table
Program was created for optimized packing of two dimensional rectangular elements at orthogonal table with main purpose of printing cutting sheets that can be used for cutting material at production in wood and panel furniture manufacturing. It is developed upon authors several years of experience at woodworking, and actual carpenters needs when such software is in question. In spite its look it is fully functional peace of software , with all necessary elements needed for generating... -
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COHCAP
City of Hope CpG Island Analysis Pipeline
COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through GitHub. 2) In addition to the original NAR paper, please see the following links: Benchmarks: http://www.nature.com/protocolexchange/protocols/2965#/introduction Protocol Exchange Files: http://sourceforge.net/projects/cohcap/files/Protocol_Exchange_Example.zip 3) Custom Annotation Files (including EPIC Array): https://sourceforge.net/projects/cohcap/files/additional_Bioconductor_annotations.zip/download -
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Approximate Solution Finder
An open-source approximate logic design tool
We provide an open-source library of approximate multipliers described using Verilog HDL. The article related to the library is currently under review. -
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Rainflow
Fast rainflow counting written in C (C99)
Rainflow Counting Algorithm (4-point-method), C99 compliant. "Rainflow Counting" consists of four main steps: 1. Hysteresis Filtering 2. Peak-Valley Filtering 3. Discretization 4. Four Point Counting Method: These steps are fully documented in standards such as ASTM E1049 "Standard Practices for Cycle Counting in Fatigue Analysis" [1]. -
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Secure File Vault
A very secure file vault for private files to avoid hackers
A File vault to store all of your personal items, this file vault could not be brute forced (impossible because of the hashing algorithms). It uses a combination of veracrypt, winrar, 7zip to encrypt your files to ensure that they are secure and not be seen by someone. Once you start to create the file vault, your password gets hashed a million times (only takes 3 seconds) then base 64 3 times and hashed 1 more time, it uses a combination of SHA256, SHA512 and lot of other secret...
