Search Results for "dataset"
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Showing 12 open source projects for "dataset"
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Charts.css
Open source CSS framework for data visualization
Charts.css is a modern CSS framework. It uses CSS utility classes to style HTML elements as charts. No dependencies. 72kb file size. Less than 6kb gzipped file size! Visualization helps end-users understand data. Charts.css help frontend developers turn data into beautiful charts and graphs using simple CSS classes. The data is structured using semantic HTML tags and styled using CSS classes which change the visual representation displayed to the end-user. The framework offers developers... -
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Fast Paginate for Laravel
A fast implementation of offset/limit pagination for Laravel.
This is a fast limit/offset pagination macro for Laravel. It can be used in place of the standard paginate methods. This package uses a SQL method similar to a "deferred join" to achieve this speedup. A deferred join is a technique that defers access to requested columns until after the offset and limit have been applied. In our case we don't actually do a join, but rather a where in with a subquery. Using this technique we create a subquery that can be optimized with specific indexes for... -
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GeoNode
GeoNode is an open source platform for geospatial data
...It brings together mature and stable open-source software projects under a consistent and easy-to-use interface allowing non-specialized users to share data and create interactive maps. Data management tools built into GeoNode allow for integrated creation of data, metadata, and map visualization. Each dataset in the system can be shared publicly or restricted to allow access to only specific users. Social features like user profiles and commenting and rating systems allow for the development of communities around each platform to facilitate the use, management, and quality control of the data the GeoNode instance contains. It is also designed to be a flexible platform that software developers can extend, modify or integrate against to meet requirements in their own applications. -
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Apache Spark
A unified analytics engine for large-scale data processing
Apache Spark is a unified engine for large-scale data processing, offering APIs for batch jobs, streaming, machine learning, and graph computation. It builds on resilient distributed datasets (RDDs) and the newer DataFrame/Dataset abstractions to provide fault-tolerant, in-memory computation across clusters. Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. With Spark Streaming (microbatches) and Structured Streaming, it delivers low-latency event processing suitable for real-time analytics. ... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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EasyR1
An Efficient, Scalable, Multi-Modality RL Training Framework
...The framework is also organized to help you compare training strategies (e.g., pure SFT vs. preference optimization) so you can see what actually moves metrics in math, code, and multi-step reasoning. For teams exploring open reasoning models, EasyR1 provides an opinionated yet flexible path from dataset to deployable checkpoints. -
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XMLRAD
Web Application Server Stack for Delphi/FreePascal/Lazarus
Build HTML5 web apps based on DSL (Domain Specific Language) for Delphi/FreePascal/Lazarus: - XMLGram to create XMLServices using DBExtract to select from DB, DBBatch to update DB, macros using programming patterns such as Multicast and RetroFit, - XQL (eXtensible Query Language) to select records in the embedded database XQLite, - XML to load/store record/dataset, - XTL (eXtensible Template Language) to design HTML5 pages based on templates, includes templates for multiple layouts: desktop, mobile and tablet devices XMLRAD includes an Embedded Web Server running natively on Windows and Linux with Delphi/FreePascal/Lazarus. -
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TorchGAN
Research Framework for easy and efficient training of GANs
The torchgan package consists of various generative adversarial networks and utilities that have been found useful in training them. This package provides an easy-to-use API which can be used to train popular GANs as well as develop newer variants. The core idea behind this project is to facilitate easy and rapid generative adversarial model research. TorchGAN is a Pytorch-based framework for designing and developing Generative Adversarial Networks. This framework has been designed to... -
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Pytorch Points 3D
Pytorch framework for doing deep learning on point clouds
...We aim to build a tool that can be used for benchmarking SOTA models, while also allowing practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. Each base class supports a different data format. -
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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VCL.JS
TypeScript component based framework for enterprise web application
...//Simple dbgrid bounded to a query import V = require("VCL/VCL"); export class PageHome extends V.TPage { constructor() { super(); //create a backend query var qur = new V.TQuery(this); qur.SQL = "SELECT CustomerKey, FirstName, LastName FROM Customers"; qur.open(); //create a grid on the screen var grd = new V.TDBGrid(this, "grid"); grd.Dataset = qur; //bind the grid to the dataset grd.PageSize = 15; var col = grd.createColumn(“FirstName”); var col = grd.createColumn(“Lastname”,”Last Name”); } } -
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This is a simple class library provided for generating structured query language (SQL) expressions from an XML criteria (somewhat like XQuery) and a Typed Dataset containing all required tables.
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JSDC are libraries, giving developers of dynamic pages an easy/fast way of making their web application more powerful with datasets, master-detail relations, dataset-events, conditions and data-aware components. It's the opposite approach to that of ZK.
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