Search Results for "learning" - Page 61
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Showing 4736 open source projects for "learning"
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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okrolearn
A machine-learning library which is a blend of pytorch and scikit
A machine library created to be both good at analization and neural networks, created for my own usecases, for ideas that I wanted to have. To install do pip install okrolearn, to install for cpu do pip install okrolearn==0.2.5 -
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Sokoban Solver Statistics
Statistics for the best Sokoban solver programs
This project presents statistics for the best Sokoban solver programs. Additionally, it features a Sokoban program for playing the game. -
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dashAI
dashAI: an interactive platform for training, evaluating and deploying
dashAI is an open-source, No-code workbench for Exploratory Data Analysis and classical ML. Visual data preparation, multi-model experiments, XAI explainability, and a plugin-based extensible catalog. The platform guides users through a complete, traceable workflow — data ingestion → visual exploration → preprocessing → model training → evaluation → explainability — without writing a single line of code. Each step is explicit and reversible, keeping the user in control rather than... -
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Weak Signal Sleuth
Early-warning for weak-signal DX openings: PSKReporter + ML map
Weak Signal Sleuth is a free, open-source desktop app that watches for weak-signal DX openings before they peak. It monitors PSKReporter and the DX Cluster, plots activity on a live world map, and uses a machine-learning model to flag likely 6 m / 2 m sporadic-E and meteor-scatter openings so you can be on the band when it counts. Built with Tauri + React by KD9TAW. Part of the Ham Radio Tools suite — https://hamradiotools.io -
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zebra
Zebra - A User Modeling System for Adaptive Learning
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Scribe is a CMS for the Liferay Portal framework. It includes Web Content Management as well as Learning Management System features.
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FEATool Multiphysics - FEA & CFD Toolbox
FEATool Multiphysics is an easy-to-use FEA and CFD Simulation Toolbox
...In addition to built-in CAD and pre/post-processing, automatic mesh generation, and multi-physics solvers, FEATool also seamlessly integrates the state-of-the-art OpenFOAM [1], SU2, and FEniCS CFD and FEA solvers. Moreover, native itegration with MATLAB and Python allows advanced simulation scripts and programmatic use cases such as in AI and machine learning [2]. [1]: https://www.featool.com/Easy-to-Use-OpenFOAM-GUI/ [2]: https://featool.com/model-showcase/2024-11-12-CFD-and-Flow-Prediction-Based-on-Deep-Learning... -
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GeoDMA
Geographic feature extraction and data mining
GeoDMA is a plugin for TerraView software, used for geographical data mining. With a single image, the user can perform segmentation, attributes extraction, normalization and classification. -
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mTRF-Toolbox
A MATLAB package for modelling multivariate stimulus-response data
mTRF-Toolbox is a MATLAB package for modelling multivariate stimulus-response data, suitable for neurophysiological data such as MEG, EEG, sEEG, ECoG and EMG. It can be used to model the functional relationship between neuronal populations and dynamic sensory inputs such as natural scenes and sounds, or build neural decoders for reconstructing stimulus features and developing real-time applications such as brain-computer interfaces (BCIs). Toolbox Paper: ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Chronolabs Cooperative
Superior Chronologistics ~ Transmultiversity organisation at home+out!
...Starting as a small start-up in 2006, Chronolabs has gone from strength to strength in supporting the Open Source community, namely XOOPS (see: http://xoops.org/) which was adopted by Chronolabs as a lot of the programmers from our community of developing this period was new to languages like PHP and LAMP Stack and XOOPS being OOP CI which is used in all VS and VS.NET it was the ideal choice for in-depth analysis and learning these open control mechanism coming from a Visual Studio and Visual Studio .NET -
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Transformer Explainer
Learn How LLM Transformer Models Work with Interactive Visualization
...Users can observe how attention weights change as the model predicts the next token, offering insight into how transformer architectures capture relationships between words. The design of the platform emphasizes educational accessibility, allowing students, researchers, and developers to explore complex machine learning concepts without requiring specialized hardware or installations. -
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Featuretools
An open source python library for automated feature engineering
...Featuretools works alongside tools you already use to build machine learning pipelines. You can load in pandas' data frames and automatically create meaningful features in a fraction of the time it would take to do so manually. -
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Onda Sfasata Embedded
An embedded version of an authentic Italian learning app.
An embedded version of an authentic Italian learning app. GitHub repository: https://github.com/Northstrix/onda-sfasata-embedded -
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Crypto-Pump-Bot-Ai-Powered
A cutting-edge AI-driven cryptocurrency trading bot designed to detect
A cutting-edge AI-driven cryptocurrency trading bot designed to detect and respond to market pump-and-dump activities. This bot leverages advanced machine learning models and sophisticated analysis techniques to identify opportunities, analyze market trends, and execute trades with precision. -
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GNNPCSAFT
Smart Thermodynamic Modeling with Graph Neural Networks
The GNNPCSAFT app is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. To install the GNNPCSAFT app, download the... -
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RosarioSIS
Student Information System for school management and communication
Free Student Information System designed for school management. Modules included: - School Setup - Students (demographics, contacts...) - Grades - Scheduling - Eligibility - Attendance - Accounting - Student Billing - Discipline - Food Service Add-ons like Messaging, Email, Import tools, Quiz, Library modules and much more are available. Manage your school in one web-application powered by PHP/SQL (MySQL or PostgreSQL). RosarioSIS is multilingual and offers Moodle... -
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sadsa
SADSA (Software Application for Data Science and Analytics)
SADSA (Software Application for Data Science and Analytics) is a Python-based desktop application designed to simplify statistical analysis, machine learning, and data visualization for students, researchers, and data professionals. Built using Python for the GUI, SADSA provides a menu-driven interface for handling datasets, applying transformations, running advanced statistical tests, machine learning algorithms, and generating insightful plots — all without writing code. -
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linuxcmdl
a simple linux distribution
KISS - keep it stupid simple. Linuxcmdl is a small distribution. Learning Linux ? basic things are easy to learn with linuxcmdl. -
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LogD_Predictor
Models to LogD Predictor Software
The repository contains a packaged set of machine-learning models and neural networks for predicting logD from NMR spectra and molecular fingerprints. For more details, check the Github repository: https://github.com/Prospero1988/logD_predictor -
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...In addition to real-time interactivity, live_beats demonstrates effective project structuring, deployment strategies, and integration with Fly.io’s cloud hosting platform. It serves as both a learning tool and a reference for best practices in LiveView development, covering topics such as state management, event handling, and distributed scalability. Designed for developers exploring Elixir and Phoenix, it provides a hands-on example of how to create responsive, dynamic web applications.
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Obscura
It's a personal microkernel project designed as a learning ground.
Obscura is a personal microkernel project designed as a learning ground for low-level operating systems. Its initial aim is to lay the foundations for a minimalist kernel, then gradually evolve towards a modular, stable and simple operating system. ## 🧭 Objectives - Learn and master : - Low-level C language - x86/x86_64 assembler - Modern processor architecture - Fundamental principles of operating systems - Develop a microkernel : - Lightweight and modular - Able to handle hardware interrupts (keyboard, timer) - Support minimal user space - Evolve to a simple OS: - With a rudimentary shell - Isolated user processes - A basis for experimenting with system concepts ## ⚙️ Project status > 🚧 Project under development - Learning phase (year 1) Short-term planned features : - [ ] Multiboot-compatible GRUB bootloader - [ ] Text mode display (VGA) - [ ] Interrupt management (IRQ / keyboard) - [ ] First task manager loop -
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LakshmiDROP
Fixed Income Analytics, Portfolio Construction, Asset Backed Cost
DROP implements the model libraries and provides systems for fixed income valuation and adjustments, asset allocation and transaction cost analytics, and supporting libraries in numerical optimization and statistical learning. DROP is composed of four main libraries: [Asset Allocation] (https://lakshmidrip.github.io/DROP/AssetAllocationModule.html) [Fixed Income Analytics] (https://lakshmidrip.github.io/DROP/FixedIncomeModule.html) [Numerical Optimization] (https://lakshmidrip.github.io/DROP/NumericalOptimizerModule.html) [Statistical Learning] (https://lakshmidrip.github.io/DROP/StatisticalLearningModule.html) -
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GNNPCSAFT Web App
Smart Thermodynamic Modeling with Graph Neural Networks
The GNNPCSAFT Web App is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. More info on github repository. -
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SMILI
Scientific Visualisation Made Easy
The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with... -
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AMBIT:Chemical Structure DB&Web Service
Chemical structures database & machine learning with web services API
AMBIT offers a cheminformatics data management for chemical substances, structures and nanomaterials. Flexible structure, similarity and study queries storage, descriptor calculation and predictive models building via REST web services.User interface for creating read across assessment and generating reports, aligned with regulatory and industrial requirements. Command line applications also available. Integration with third party tools and databases.