Search Results for "algorithm" - Page 11
Sort By:
Showing 2045 open source projects for "algorithm"
View related business solutions-
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.
-
Cloud data warehouse to power your data-driven innovationBigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
-
1
FFCV
Fast Forward Computer Vision (and other ML workloads!)
ffcv is a drop-in data loading system that dramatically increases data throughput in model training. From gridding to benchmarking to fast research iteration, there are many reasons to want faster model training. Below we present premade codebases for training on ImageNet and CIFAR, including both (a) extensible codebases and (b) numerous premade training configurations. -
2
KhadashPay
The KhadashPay project is an open-source payment system.
The KhadashPay project is my attempt to make a payment system from scratch. As for the customers of the store where the KhadashPay is deployed, Khadash pay doesn't keep any logs whatsoever and doesn't require a bit of your personal information to create an account. You can find the tutorials here: V2.0 (ESP32 Version): https://www.instructables.com/KhadashPay-V20/ V2.0 (Raspberry Pi Pico Version): https://www.instructables.com/KhadashPay-V20-Raspberry-Pi-Pico-Version/ V3.0... -
3
auto-sklearn
Automated machine learning with scikit-learn
auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. auto-sklearn frees a machine learning user from algorithm selection and hyperparameter tuning. It leverages recent advantages in Bayesian optimization, meta-learning and ensemble construction. Auto-sklearn 2.0 includes latest research on automatically configuring the AutoML system itself and contains a multitude of improvements which speed up the fitting the AutoML system. auto-sklearn 2.0 works the same way as regular auto-sklearn. auto-sklearn is licensed the same way as scikit-learn, namely the 3-clause BSD license. -
4
A fast Rubik's cube solver with a Qt-frontend. This is a port from H. Kociemba's Two-Phase-Algorithm to C++ which can solve cubes with an average of 20 moves. Needs Qt 4 (<=cubesolver-0.1.1) or Qt 5 (>=cubesolver-0.2.1).
-
AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
-
5
GeneticSharp
GeneticSharp is a fast, extensible, multi-platform and multithreading
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs). Can be used in any kind of .NET 6, .NET Standard and .NET Framework apps, like ASP .NET MVC, ASP .NET Core, Blazor, Web Forms, UWP, Windows Forms, GTK#, Xamarin, MAUI and Unity3D games. GeneticSharp and extensions (TSP, AutoConfig, Bitmap equality, Equality equation, Equation solver, Function builder, etc). ... -
6
Curve Ensemble
Curve Ensemble, a tool to manage and create curves
...The primary focus is on minimal energy curves, and our implimentation includes (Restricted) Elastic Splines as well as several methods related to parametric cubic splines. For each minimal energy curve method the following features are available: * Robust algorithm to find minimal energy interpolating curve. * Flexible node specifications (regular, clamped, free, data ball). * Multiple curves on the same canvas. * Transformation tools (translate, rotate, scale). * Elaborate painting capabilities. There are also other useful methods implemented, like Lines, Circles and DataBalls, and tools for subdivision and shortest/smoothest path through data balls. ... -
7
Hashids
A small PHP library to generate YouTube-like IDs from numbers
...The alphabet is not base16, but base base62 by default. The alphabet is also shuffled based on salt. We need ids to be nice and friendly especially if they end up being in the URL. Therefore, the algorithm tries to avoid generating most common English curse words by never placing the following letters (and their uppercase equivalents) next to each other. There are no collisions because the method is based on integer to hex conversion. As long as you don't change constructor arguments midway, the generated output will stay unique to your salt. -
8
Scrapyd
A service daemon to run Scrapy spiders
...A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. For example: r23. The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an application (typically run as a daemon) that listens to requests for spiders to run and spawns a process for each one. Scrapyd also runs multiple processes in parallel, allocating them in a fixed number of slots given by the max_proc and max_proc_per_cpu options, starting as many processes as possible to handle the load. -
9
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. ... -
Turn more customers into advocates.The platform's advanced capabilities ensure companies get the most out of their referral programs. Leverage custom events, profiles, and attributes to enable dynamic, audience-specific referral experiences. Use first-party data to tailor customer segment messaging, rewards, and engagement strategies. Use our flexible APIs to build management capabilities and consumer experiences–headlessly or hybrid. We have all the tools you need to build scalable, secure, and high-performing referral programs.
-
10
AlphaZero.jl
A generic, simple and fast implementation of Deepmind's AlphaZero
Beyond its much publicized success in attaining superhuman level at games such as Chess and Go, DeepMind's AlphaZero algorithm illustrates a more general methodology of combining learning and search to explore large combinatorial spaces effectively. We believe that this methodology can have exciting applications in many different research areas. Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++) and optimized for highly distributed computing environments. ... -
11
OpenSSL for Windows
OpenSSL Portable for Windows 32-bit and Android
OpenSSL is a robust, commercial-grade, and full-featured toolkit for the Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols. It is also a general-purpose cryptography library. GOST Engine: GOST 28147-89 - 64-bit block cipher with 256-bit key. GOST R 34.11-94 - Message digest algorithm. 256-bit hash value. GOST R 34.10-2001 - Digital signature algorithm. GOST R 34.10-2012 - Digital signature algorithm. GOST R 34.11-2012 - "Streebog" hash function 256 and 512-bit. GOST R 34.12-2015 - "Magma" block cipher (new). GOST R 34.12-2015 - "Kuznyechik" (Grasshopper) 128-bit block cipher. Check also: https://sourceforge.net/projects/edgetk/ Visit: http://albanese.atwebpages.com -
12
Tree Visualisation with Visual Cues
Tree Visualisation with Visual Cues
This project extends a previous work on node link tree visualisation and interaction by providing visual clues on hidden structures. We adopt DOITree from Prefuse package (https://github.com/prefuse/Prefuse), a multi-focal tree layout algorithm, for exploring large hierarchical structures. Related publications: https://www.sciencedirect.com/science/article/pii/S1045926X1630009X https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6902871 -
13
PixelAnnotationTool
Annotate quickly images
Software that allows you to manually and quickly annotate images in directories. The method is pseudo manual because it uses the algorithm watershed marked of OpenCV. The general idea is to manually provide the marker with brushes and then to launch the algorithm. If at first pass the segmentation needs to be corrected, the user can refine the markers by drawing new ones on the erroneous areas. -
14
cppcrypto
C++ cryptographic library (modern hash functions, ciphers, KDFs)
...Includes sample command-line tools: - 'digest' - for calculating and verifying file checksum(s) using any of the supported hash algorithms (similar to md5sum or RHash). - 'cryptor' - for file encryption using Serpent-256 algorithm in AEAD mode. Check out the cppcrypto web site linked below for programming documentation. -
15
GigaBASE is object-relational embedded database engine for C++ applications. It provides SQL-like query language, smart C++ interface (loading objects instead of tupples), transaction based on shadowing page algorithm (no separate log file and very fas
-
16
CleanRL
High-quality single file implementation of Deep Reinforcement Learning
...The implementation is clean and simple, yet we can scale it to run thousands of experiments using AWS Batch. CleanRL is not a modular library and therefore it is not meant to be imported. At the cost of duplicate code, we make all implementation details of a DRL algorithm variant easy to understand, so CleanRL comes with its own pros and cons. You should consider using CleanRL if you want to 1) understand all implementation details of an algorithm's variant or 2) prototype advanced features that other modular DRL libraries do not support (CleanRL has minimal lines of code so it gives you great debugging experience and you don't have to do a lot of subclassing like sometimes in modular DRL libraries). -
17
StringHash
Open Source Commandline String Hasher written in AutoIt3
String Hash Tool - ALBANESE Research Lab © 2018-2019 Usage: StringHash.exe --str <string> --alg <algorithm> Algorithms: MD2, MD4, MD5, SHA1, SHA-256, SHA-384, SHA-512 Example: StringHash.exe --str MyString001 (Default MD5) StringHash.exe --str "MyString 002" --alg sha-256 Copyright © 2018-2019 Pedro F. Albanese Source: https://github.com/pedroalbanese/stringhash Visit: http://albanese.atwebpages.com -
18
SHA256-in-C
SHA-256 Algorithm Implementation in C
-
19
FedLab
A flexible Federated Learning Framework based on PyTorch
A Python-based framework for federated learning simulation, emphasizing modularity, communication efficiency, and algorithmic flexibility. Supports both server- and client-side customization for research and development purposes. -
20
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. ... -
21
BD-Func
Bidirectional Functional Enrichment of Gene Expression Data
BD-Func is an algorithm to predict activation or inhibition of pathways based upon gene expression patterns. If you use BD-Func, please cite: Warden C, Kanaya N, Chen S, and Yuan Y-C. (2013) BD-Func: A Streamlined Algorithm for Predicting Activation and Inhibition of Pathways. peerJ, 1:e159 -
22
GFPGAN
GFPGAN aims at developing Practical Algorithms
...Online demo: Baseten.co (backed by GPU, returns the whole image). We provide a clean version of GFPGAN, which can run without CUDA extensions. So that it can run in Windows or on CPU mode. GFPGAN aims at developing a Practical Algorithm for Real-world Face Restoration. It leverages rich and diverse priors encapsulated in a pretrained face GAN (e.g., StyleGAN2) for blind face restoration. Add V1.3 model, which produces more natural restoration results, and better results on very low-quality / high-quality inputs. -
23
LEACrypt
TTAK.KO-12.0223 Lightweight Encryption Algorithm Tool
The Lightweight Encryption Algorithm (also known as LEA) is a 128-bit block cipher developed by South Korea in 2013 to provide confidentiality in high-speed environments such as big data and cloud computing, as well as lightweight environments such as IoT devices and mobile devices. LEA is one of the cryptographic algorithms approved by the Korean Cryptographic Module Validation Program (KCMVP) and is the national standard of Republic of Korea (KS X 3246). -
24
AlphaTensor
AI discovers faster, efficient algorithms for matrix multiplication
AlphaTensor, developed by Google DeepMind, is the research codebase accompanying the 2022 Nature publication “Discovering faster matrix multiplication algorithms with reinforcement learning.” The project demonstrates how reinforcement learning can be used to automatically discover efficient algorithms for matrix multiplication — a fundamental operation in computer science and numerical computation. The repository is organized into four main components: algorithms, benchmarking,... -
25
Gym
Toolkit for developing and comparing reinforcement learning algorithms
...Open source interface to reinforce learning tasks. The gym library provides an easy-to-use suite of reinforcement learning tasks. Gym provides the environment, you provide the algorithm. You can write your agent using your existing numerical computation library, such as TensorFlow or Theano. It makes no assumptions about the structure of your agent, and is compatible with any numerical computation library, such as TensorFlow or Theano. The gym library is a collection of test problems — environments — that you can use to work out your reinforcement learning algorithms. ...
