Search Results for "ray"
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Showing 458 open source projects for "ray"
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Comet Backup - Fast, Secure Backup Software for MSPsComet is a flexible backup platform, giving you total control over your backup environment and storage destinations.
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The only CRM built for B2CKlaviyo unifies your customer profiles by capturing every event, and then lets you orchestrate your email marketing, SMS marketing, push notifications, WhatsApp, and RCS campaigns in one place. Klaviyo AI helps you build audiences, write copy, and optimize — so you can always send the right message at the right time, automatically. With real-time attribution and insights, you'll be able to make smarter, faster decisions that drive ROI.
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Ray
A unified framework for scalable computing
Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. ... -
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Debug with Ray
Debug with Ray to fix problems faster
Debug with Ray to fix problems faster. This package can be installed in any PHP application to send messages to the Ray app. Ray is a desktop application that serves as the dedicated home for debugging output. Send, format and filter debug information from both local projects and remote servers. -
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Ray Tracing in One Weekend Book Series
The Ray Tracing in One Weekend series of books
...These books are formatted for printing directly from your browser, where you can also (on most browsers) save them as PDF. In Ray Tracing in One Weekend, you will build a simple brute-force path tracer. Continuing with Ray Tracing: The Next Week, you will add textures, volumes (like fog), rectangles, instances, lights, and support for lots of objects using a bounding volume hierarchy (BVH). Finally, with Ray Tracing: The Rest Of Your Life, we'll dive into the math of creating a very serious ray tracer. -
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AWS X-Ray Java Agent
The official AWS X-Ray Auto Instrumentation Agent for Java
...See the chart below for the current feature parity between the AWS X-Ray SDK and the AWS X-Ray Java Agent. The X-Ray Java Agent is implemented using the DiSCo library, a toolkit for building Java Agents in distributed environments. The AWS X-Ray Java Agent is compatible with Java 8 and 11. You must be able to modify the JVM arguments of your application to use the agent. To get an idea of how much impact the X-Ray Agent might have on your system, please see the benchmarking package. -
Accounting practice management softwareCanopy is a cloud-based practice management software for accounting and tax firms, offering tools for client engagement, document management, workflow automation, and time & billing. Its Client Engagement platform centralizes interactions with a secure portal, customizable branding, and email integration, while the Document Management system enables organized, paperless file storage. The Workflow module enhances visibility into tasks and projects through templates, task assignments, and automation, reducing human error. Additionally, the Time & Billing feature tracks billable hours, generates invoices, and processes payments, ensuring accurate financial management. With its comprehensive features, Canopy streamlines operations, reduces stress, and enhances client experiences.
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AWS X-Ray Daemon
The AWS X-Ray daemon listens for traffic on UDP port 2000
The AWS X-Ray daemon listens for traffic on UDP port 2000, gathers raw segment data, and relays it to the AWS X-Ray API. The daemon works in conjunction with the AWS X-Ray SDKs and must be running so that data sent by the SDKs can reach the X-Ray service. The X-Ray SDK sends segment documents to the daemon to avoid making calls to AWS directly. -
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AWS X-Ray SDK for Node.js
The official AWS X-Ray SDK for Node.js
AWS X-Ray recommends using AWS Distro for OpenTelemetry (ADOT) to instrument your application instead of this X-Ray SDK due to its wider range of features and instrumentations. See the AWS X-Ray docs on Working with Node.js for more help with choosing between ADOT and X-Ray SDK. The AWS X-Ray SDK for Node.js is compatible with Node.js version 12. x and later. -
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AWS X-Ray SDK for Go
AWS X-Ray SDK for the Go programming language
AWS X-Ray recommends using AWS Distro for OpenTelemetry (ADOT) to instrument your application instead of this X-Ray SDK due to its wider range of features and instrumentations. See the AWS X-Ray docs on Working with Go for more help with choosing between ADOT and X-Ray SDK. Install the SDK using the following command (The SDK's non-testing dependencies will be installed): Use go get to retrieve the SDK to add it to your GOPATH workspace. -
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AWS X-Ray SDK for Ruby
The official AWS X-Ray Recorder SDK for Ruby
AWS X-Ray recommends using AWS Distro for OpenTelemetry (ADOT) to instrument your application instead of this X-Ray SDK due to its wider range of features and instrumentation. The AWS X-Ray SDK for Ruby is compatible with Ruby 2.3.6 and newer Ruby versions. It has experimental support for JRuby 9.2.0.0 (still forthcoming). To install the Ruby gem for your project, add it to your project Gemfile. -
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AWS X-Ray SDK for Python
AWS X-Ray SDK for the Python programming language
...Oftentimes, it may be useful to be able to disable X-Ray for specific use cases, whether to stop X-Ray from sending traces at any moment or to test code functionality that originally depended on X-Ray instrumented packages to begin segments prior to the code call. For example, if your application relied on an XRayMiddleware to instrument incoming web requests, and you have a method that begins subsegments based on the segment generated. -
Taking the Paper Out of WorkThe Square 9 AI-powered intelligent document processing platform takes the paper out of work and makes it easier to get things done with digital workflows.
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AWS X-Ray SDK for Java
The official AWS X-Ray Recorder SDK for Java
AWS X-Ray recommends using AWS Distro for OpenTelemetry (ADOT) to instrument your application instead of this X-Ray SDK due to its wider range of features and instrumentations. The AWS X-Ray SDK for Java is compatible with Java 8 and 11. Applications may make downstream HTTP calls to communicate with other applications. If these downstream applications are also traced, trace context information will need to be passed so that the trace segments may be properly grouped into a single trace. ... -
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fugue
A unified interface for distributed computing
Fugue is a unified interface for distributed computing that lets users execute Python, Pandas, and SQL code on Spark, Dask, and Ray with minimal rewrites. -
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Aviary
Ray Aviary - evaluate multiple LLMs easily
...Providing an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. Supporting Transformer models hosted on Hugging Face Hub or present on local disk. Aviary has native support for autoscaling and multi-node deployments thanks to Ray and Ray Serve. Aviary can scale to zero and create new model replicas (each composed of multiple GPU workers) in response to demand. Ray ensures that the orchestration and resource management is handled automatically. Aviary is able to support hundreds of replicas and clusters of hundreds of nodes, deployed either in the cloud or on-prem. -
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hiddify-app
Multi-platform auto-proxy client, supporting Sing-box, X-ray, TUIC
Hiddify is a comprehensive VPN and proxy client designed to facilitate secure internet access and bypass censorship. It supports advanced proxy protocols like V2Ray, Shadowsocks, and Trojan, offering configuration through QR codes, links, and subscription services. Hiddify aims to be user-friendly while also catering to power users with customizable options, making it a popular choice in regions with restricted internet access. -
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rayshader
R Package for 2D and 3D mapping and data visualization
This is an R package designed for producing beautiful and interactive 2D and 3D visualizations — especially maps and terrain renderings — using elevation/gridded data and ray-tracing / hill-shading methods. At its core, rayshader takes a matrix of elevations and applies shading, texture, ambient occlusion, overlays, and light modeling (ray shade, lambertian shading, etc.) to produce realistic relief maps. Users can rotate, zoom, and animate the scenes or script camera trajectories programmatically. It supports outputting high-quality renders via path tracing (using a companion package) and also offers depth-of-field (“cinematic blur”) effects to bring visual focus into scenes. ... -
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Map-Anything
MapAnything: Universal Feed-Forward Metric 3D Reconstruction
...The model flexibly accepts different input combinations (images, intrinsics, poses, sparse or dense depth) and produces a rich set of outputs including per-pixel 3D points, camera intrinsics, camera poses, ray directions, confidence maps, and validity masks. Its inference path is fully feed-forward with optional mixed-precision and memory-efficient modes, making it practical to scale to long image sequences while keeping latency predictable. -
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Volcano
A Cloud Native Batch System (Project under CNCF)
...It provides a suite of mechanisms that are commonly required by many classes of batch & elastic workload including machine learning/deep learning, bioinformatics/genomics, and other "big data" applications. These types of applications typically run on generalized domain frameworks like TensorFlow, Spark, Ray, PyTorch, MPI, etc, which Volcano integrates with. Volcano builds upon a decade and a half of experience running a wide variety of high-performance workloads at scale using several systems and platforms, combined with best-of-breed ideas and practices from the open-source community. Until June 2021, Volcano has been widely used around the world at a variety of industries such as Internet/Cloud/Finance/ Manufacturing/Medical. ... -
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NVIDIA Isaac Sim
NVIDIA Isaac Sim is an open-source application on NVIDIA Omniverse
...It supports a wide array of robotics formats (URDF, MJCF, CAD), includes GPU-accelerated physics, and features immersive RTX rendering and multisensory simulation. Realistic physics via GPU-accelerated engines and RTX ray tracing. Multi-sensor simulation (RGB-D cameras, Lidar, Radar, IMU, contact sensors). Extensible via platform APIs and can integrate into custom USD-based simulators. -
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KubeRay
A toolkit to run Ray applications on Kubernetes
KubeRay is a powerful, open-source Kubernetes operator that simplifies the deployment and management of Ray applications on Kubernetes. It offers several key components. KubeRay core: This is the official, fully-maintained component of KubeRay that provides three custom resource definitions, RayCluster, RayJob, and RayService. These resources are designed to help you run a wide range of workloads with ease. -
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VidCoder
A Blu-ray, DVD and video file transcoder for Windows
VidCoder is a Windows-based open-source video transcoding and ripping tool that provides a graphical interface built around standard command-line multimedia tools. It lets users convert video files (or rip DVDs/Blu-rays, when supported) into modern formats and codecs, making it useful for people who want to compress, re-encode, or transcode video content without dealing directly with low-level encoder settings. Because VidCoder integrates and automates the invocation of complex backend... -
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AWS Powertools for Lambda
Powertools is a developer toolkit to implement best practices
A TypeScript utility library that provides best practices and tools for AWS Lambda applications. -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
...The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express their transformations; behind the scenes, tasks are scheduled (often via Ray) and pushed into DuckDB instances operating on partitioned data. Because the storage layer (3FS) is optimized for random access and high throughput, smallpond can shuffle data, repartition, and manage intermediate results across nodes. -
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AWS App Mesh Controller For K8s
A controller to help manage App Mesh resources for Kubernetes cluster
AWS App Mesh Controller For K8s is a controller to help manage App Mesh resources for a Kubernetes cluster and injecting sidecars to Kubernetes Pods. The controller watches custom resources for changes and reflects those changes into the App Mesh API. The controller maintains the custom resources (CRDs): meshes, virtual nodes, virtual routers, virtual services, virtual gateways, and gateway routes. The custom resources map to App Mesh API objects. AppMesh controller supports monitoring the... -
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mlforecast
Scalable machine learning for time series forecasting
...It supports multi-series forecasting, meaning you can train one model that forecasts many time series at once (common in retail, demand forecasting, etc.), rather than one model per series. The library is built to scale: behind the scenes, it can leverage distributed computing frameworks (Spark, Dask, Ray) when datasets or the number of series grow large. -
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Sonarr
Smart PVR for newsgroup and bittorrent users
...Can scan your existing library and download any missing episodes. Can watch for better quality of the episodes you already have and do an automatic upgrade. eg. from DVD to Blu-Ray. -
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Daft
Distributed DataFrame for Python designed for the cloud
...Its familiar Python Dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster. Underneath its Python API, Daft is built in blazing fast Rust code. Rust powers Daft’s vectorized execution and async I/O, allowing Daft to outperform frameworks such as Spark.