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Showing 279 open source projects for "model"
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JupyterLab
JupyterLab computational environment
... new workflows for interactive computing. JupyterLab also offers a unified model for viewing and handling data formats. JupyterLab understands many file formats (images, CSV, JSON, Markdown, PDF, Vega, Vega-Lite, etc.) and can also display rich kernel output in these formats. See File and Output Formats for more information. To navigate the user interface, JupyterLab offers customizable keyboard shortcuts and the ability to use key maps from vim, emacs, and Sublime Text in the text editor. -
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
High-performance inference of OpenAI's Whisper automatic speech recognition (ASR) model. Supported platforms: Mac OS (Intel and Arm) iOS Android Linux / FreeBSD WebAssembly Windows (MSVC and MinGW] Raspberry Pi -
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Node-RED
Low-code programming for event-driven applications
.... JavaScript functions can be created within the editor using a rich text editor. A built-in library allows you to save useful functions, templates or flows for re-use. The light-weight runtime is built on Node.js, taking full advantage of its event-driven, non-blocking model. This makes it ideal to run at the edge of the network on low-cost hardware such as the Raspberry Pi as well as in the cloud. -
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Administrate
A Rails engine that helps you put together an admin dashboard
A framework for creating flexible, powerful admin dashboards in Rails. Administrate is still pre-1.0, and there may be occasional breaking changes to the API. Check the release notes for important updates. Administrate is a library for Rails apps that automatically generates admin dashboards. Administrate's admin dashboards give non-technical users clean interfaces that allow them to create, edit, search, and delete records for any model in the application. Administrate solves the same problem... -
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Prometheus
Open source monitoring system and time series database
Prometheus is a leading open source systems and service monitoring solution. It works by collecting metrics from configured targets at given intervals, evaluating rule expressions, and then displaying the results. It can also signal an alert if a condition is observed to be true. What sets Prometheus apart from other monitoring systems is its highly dimensional data model, powerful query language, autonomous single server nodes, among many other distinguishing features. It also offers... -
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Osquery
SQL operating system instrumentation and monitoring framework
..., hardware events or file hashes.Osquery queries your devices like a database. Osquery uses basic SQL commands to leverage a relational data-model to describe a device. Frequently, attackers will leave a malicious process running but delete the original binary on disk. This query returns any process whose original binary has been deleted, which could be an indicator of a suspicious process. -
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NeoPixelBus
An Arduino NeoPixel support library
An Arduino NeoPixel support library supports a large variety of individually addressable LEDs. Please refer to the Wiki for more details. Please use the gitter channel to ask questions as the GitHub Issues feature is used for bug tracking. A library to control one wire protocol RGB and RGBW LEDs like APA106, SK6812, WS2811, WS2812, and WS2813 that are commonly referred to as NeoPixels and two-wire protocol RGB like Lpd8806, APA102, and SK9822 commonly referred to as DotStars. Supports most... -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
The challenge is to run Stable Diffusion 1.5, which includes a large transformer model with almost 1 billion parameters, on a Raspberry Pi Zero 2, which is a microcomputer with 512MB of RAM, without adding more swap space and without offloading intermediate results on disk. The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which... -
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QxOrm library
C++ Qt ORM (Object Relational Mapping) and ODM library
QxOrm library is an Object Relational Mapping (ORM) and Object Document Mapper (ODM) database library for C++ Qt developers. QxEntityEditor is a graphic editor for QxOrm library : QxEntityEditor provides a graphic way to manage the data model. QxEntityEditor is multi-platform (available for Windows, Linux, and Mac OS X) and generates native code for all environments, desktop (Windows, Linux, Mac OS X), embedded and mobile (Android, iOS, Windows Phone, Raspberry Pi, etc.). A user manual... -
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Jaeger
Monitor and troubleshoot transactions in complex distributed systems
.... It is used for monitoring and troubleshooting microservices-based distributed systems. OpenTracing compatible data model and instrumentation libraries include Go, Java, Node, Python, C++ and C#. Jaeger uses consistent upfront sampling with individual per service/endpoint probabilities and it has multiple storage backends: Cassandra, Elasticsearch, memory. -
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Yazi
Blazing fast terminal file manager written in Rust, based on async I/O
... cancellation, and internal task priority assignments. Combined with the pre-loading mechanism, greatly accelerates image and normal file loading. Also integrated with Überzug++, covering almost all terminals. Built on a client-server architecture (no additional server process required), integrated with a Lua-based publish-subscribe model, achieving cross-instance communication and state persistence. Install plugins and themes with one command, keeping them always up to date. -
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sealos
Sealos is a production-ready Kubernetes distribution
A Cloud Operating System designed for managing cloud-native applications. Sealos['siːləs] is a cloud operating system distribution based on the Kubernetes kernel. Using the cloud like using a personal computer, reducing the cost of the cloud to 1/10 of the original. -
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Deckhouse
Kubernetes platform from Flant
... component privileges, pre-configured role model, end-to-end object identity in the audit system, and integration with external directory services. Built-in implementation of Pod Security Standards and a ready-to-use, extensible set of recommended policies. Deckhouse automates many routine deployment, scaling, and infrastructure management operations out of the box. It manages system software on the nodes (kernel, CRI, kubelet), basic Kubernetes components (control plane, etc, certificates, etc.). -
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SDGym
Benchmarking synthetic data generation methods
... the SDV project, or input your own data. Choose from any of the SDV synthesizers and baselines. Or write your own custom machine learning model. In addition to performance and memory usage, you can also measure synthetic data quality and privacy through a variety of metrics. Install SDGym using pip or conda. We recommend using a virtual environment to avoid conflicts with other software on your device. -
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Spring Cloud Netflix
Integration with Netflix OSS components
This project provides Netflix OSS integrations for Spring Boot apps through autoconfiguration and binding to the Spring Environment and other Spring programming model idioms. With a few simple annotations you can quickly enable and configure the common patterns inside your application and build large distributed systems with battle-tested Netflix components. The patterns provided include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load... -
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Zephyr Project
Scalable, optimized, secure RTOS for multiple hardware architectures
The Zephyr Project is a new generation real-time operating system (RTOS) that supports multiple hardware architectures. It is based on a small-footprint kernel specially designed for use on resource-constrained and embedded systems. The Zephyr OS can be used for a wide range of applications: from simple embedded environmental sensors and LED wearables to sophisticated embedded controllers, smart watches, and IoT wireless applications. -
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VulkanSceneGraph
Vulkan & C++17 based Scene Graph Project
VulkanSceneGraph (VSG), is a modern, cross-platform, high-performance scene graph library built upon Vulkan graphics/compute API. The software is written in C++17 and follows the CppCoreGuidelines and FOSS Best Practices. The source code is published under the MIT License, with the exception of vulkan.h, used for Vulkan extensions, which is under Apache License 2.0. This repository contains C++ headers and source and CMake build scripts to build the libvsg library. Additional support... -
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Phoenix
Uncover insights, surface problems, monitor, and fine tune your LLM
Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative... -
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Laravel Cross Eloquent Search
Laravel package to search through multiple Eloquent models
This Laravel package allows you to search through multiple Eloquent models. It supports sorting, pagination, scoped queries, eager load relationships, and searching through single or multiple columns. -
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Laravel Activity Log
Log activity inside your Laravel app
The spatie/laravel-activitylog package provides easy-to-use functions to log the activities of the users of your app. It can also automatically log model events. All activity will be stored in the activity_log table. Open source software is used in all projects we deliver. Laravel, Nginx, Ubuntu are just a few of the free pieces of software we use every single day. For this, we are very grateful. When we feel we have solved a problem in a way that can help other developers, we release our code... -
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SageMaker Experiments Python SDK
Experiment tracking and metric logging for Amazon SageMaker notebooks
... to compare together. Trial: A description of a multi-step machine learning workflow. Each step in the workflow is described by a Trial Component. There is no relationship between Trial Components such as ordering. Trial Component: A description of a single step in a machine learning workflow. For example data cleaning, feature extraction, model training, model evaluation, etc. -
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Laravel Scout
Provides a driver based solution to searching your Eloquent models
Laravel Scout provides a simple, driver-based solution for adding full-text search to your Eloquent models. Once Scout is installed and configured, it will automatically sync your model changes to your search indexes. -
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ORY Oathkeeper
A cloud native Identity & Access Proxy / API (IAP)
ORY Oathkeeper is an Identity & Access Proxy (IAP) and Access Control Decision API that authorizes HTTP requests based on sets of Access Rules. The BeyondCorp Model is designed by Google and secures applications in Zero-Trust networks. An Identity & Access Proxy is typically deployed in front of (think API Gateway) web-facing applications and is capable of authenticating and optionally authorizing access requests. The Access Control Decision API can be deployed alongside an existing API Gateway... -
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PyG
Graph Neural Network Library for PyTorch
... graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour). -
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Timbre
Pure Clojure/Script logging library
... elision. Useful built-in appenders for out-the-box Clj+Cljs logging. Powerful, easy-to-configure rate limits and async logging. Logs as Clojure values (v3+). Small, simple, cross-platform codebase. 3rd-party tools, appenders, etc. No XML or properties files. A single, simple config map, and you're set. Simple, flexible fn appender model with middleware. Great performance at any scale.