Search Results for "pipeline" - Page 7
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Showing 509 open source projects for "pipeline"
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Spring for GraphQL
Spring Integration for GraphQL
Spring for GraphQL provides support for Spring applications built on GraphQL Java. It is a joint collaboration between the GraphQL Java team and Spring engineering. Our shared philosophy is to provide as little opinion as we can while focusing on comprehensive support for a wide range of use cases. Spring for GraphQL is the successor of the GraphQL Java Spring project from the GraphQL Java team. It aims to be the foundation for all Spring, GraphQL applications. The project reached version... -
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spacy-transformers
Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
spaCy supports a number of transfer and multi-task learning workflows that can often help improve your pipeline’s efficiency or accuracy. Transfer learning refers to techniques such as word vector tables and language model pretraining. These techniques can be used to import knowledge from raw text into your pipeline, so that your models are able to generalize better from your annotated examples. You can convert word vectors from popular tools like FastText and Gensim, or you can load in any pre... -
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Easegress
A Cloud Native traffic orchestration system
... and so on. The Easegress can management the traffic and APIs, not only can do load balancing, canary development but also can aggregate and pipeline a number of APIs. This function automatically helps the website optimize its performance, such as: adding the cache, merging the requests, and reducing the network bandwidth. Sometimes, a site could have unexpectedly higher traffic, the Ease Gateway could help to protect the critical service for critical customers. -
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Task
A task runner / simpler Make alternative written in Go
... to install on your CI script and you're ready to use Task as part of your CI pipeline; Truly cross-platform: while most build tools only work well on Linux or macOS, Task also supports Windows thanks to this shell interpreter for Go. Great for code generation: you can easily prevent a task from running if a given set of files haven't changed since last run (based either on its timestamp or content). -
Better time tracking for projects, billing, and payrollThis product is especially great for project managers, COOs, finance professionals, accountants, or payroll admins in any industry.
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GitHub Actions for Firebase
GitHub Action for interacting with Firebase
This Action for firebase-tools enables arbitrary actions with the firebase command-line client. Starting with version v2.1.2 each version release will point to a versioned docker image allowing for hardening our pipeline (so things don't break when I do something dump). On top of this, you can also point to a master version if you would like to test out what might not be deployed into a release yet. If you want to add a message to a deployment (e.g. the Git commit message) you need to take... -
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ergo
Framework for creating microservices using technologies of Erlang/OTP
Technologies and design patterns of Erlang/OTP have been proven over the years. Now in Golang. Up to x5 times faster than original Erlang/OTP in terms of network messaging. The easiest way to create an OTP-designed application in Golang. The goal of this project is to leverage Erlang/OTP experience with Golang performance. The ideal framework for creating complex and distributed solutions (machine learning, data processing pipeline, etc.) being simple and reliable. You don't have to reinvent... -
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Giraffe
A native functional ASP.NET Core web framework for F# developers
A functional ASP.NET Core micro web framework for building rich web applications. Giraffe is an F# micro web framework for building rich web applications. It has been heavily inspired and is similar to Suave, but has been specifically designed with ASP.NET Core in mind and can be plugged into the ASP.NET Core pipeline via middleware. Giraffe applications are composed of so called HttpHandler functions which can be thought of a mixture of Suave's WebParts and ASP.NET Core's middleware. Giraffe... -
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SAHI
A lightweight vision library for performing large object detection
... challenge in surveillance applications. Such objects are represented by small number of pixels in the image and lack sufficient details, making them difficult to detect using conventional detectors. In this work, an open-source framework called Slicing Aided Hyper Inference (SAHI) is proposed that provides a generic slicing aided inference and fine-tuning pipeline for small object detection. -
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CUTLASS
CUDA Templates for Linear Algebra Subroutines
CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and cuDNN. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes. These thread-wide, warp-wide, block-wide, and device-wide... -
Qrvey allows SaaS companies to create richer products and bring them to market fasterQrvey is a low code embedded analytics platform built to help SaaS providers by simplifying the process of putting analytics tools in the hands of all users as fast as possible.
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DALI
A GPU-accelerated library containing highly optimized building blocks
..., cropping, resizing, and many other augmentations. These data processing pipelines, which are currently executed on the CPU, have become a bottleneck, limiting the performance and scalability of training and inference. DALI addresses the problem of the CPU bottleneck by offloading data preprocessing to the GPU. Additionally, DALI relies on its own execution engine, built to maximize the throughput of the input pipeline. -
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The SpeechBrain Toolkit
A PyTorch-based Speech Toolkit
SpeechBrain is an open-source and all-in-one conversational AI toolkit. It is designed to be simple, extremely flexible, and user-friendly. Competitive or state-of-the-art performance is obtained in various domains. SpeechBrain supports state-of-the-art methods for end-to-end speech recognition, including models based on CTC, CTC+attention, transducers, transformers, and neural language models relying on recurrent neural networks and transformers. Speaker recognition is already deployed in a... -
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Horovod
Distributed training framework for TensorFlow, Keras, PyTorch, etc.
... processing and model training into a single pipeline. Once Horovod has been configured, the same infrastructure can be used to train models with any framework, making it easy to switch between TensorFlow, PyTorch, MXNet, and future frameworks as machine learning tech stacks continue to evolve. Start scaling your model training with just a few lines of Python code. Scale up to hundreds of GPUs with upwards of 90% scaling efficiency. -
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SageMaker Spark
A Spark library for Amazon SageMaker
SageMaker Spark is an open-source Spark library for Amazon SageMaker. With SageMaker Spark you construct Spark ML Pipelines using Amazon SageMaker stages. These pipelines interleave native Spark ML stages and stages that interact with SageMaker training and model hosting. With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrames using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrames against SageMaker endpoints hosting... -
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AWS Copilot CLI
The AWS Copilot CLI is a tool for developers to build, release apps
... service, and scheduled job. The necessary infrastructure is generated from the chosen pattern. Focus your time on writing business logic instead of connecting AWS resources. No need to worry about gluing Copilot commands in a script to create an automated release process. Copilot provides commands to create multiple deployment environments in separate AWS accounts and regions, as well as creating an AWS CodePipeline pipeline to build your container images. -
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Cross Platform Node Guide
Improve front-end engineer workflow & standard, powered by TypeScript
...+. Feflow refers to the thinking of Pipeline and divides work into five steps: init, develop, build, test, deploy. And corresponding to five basic commands: init, dev, build, test, and deploy. In addition to serving basic development workflows and specifications, Feflow provides an easy-to-expand plug-in mechanism for creating a team-wide toolchain ecosystem. Feflow only provides a CLI and kernel. The CLI is responsible for interacting with the command line terminal. -
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Carmine
Redis client and message queue for Clojure
... and encryption support (v2+). Includes Tundra, an API for replicating data to an additional datastore (v2+, Redis 2.6+). You'll usually want to define a single connection pool, and one connection spec for each of your Redis servers. Note that executing multiple Redis commands in a single wcar request uses efficient Redis pipelining under the hood, and returns a pipeline reply (vector) for easy destructuring, etc. -
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fluentbit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX
Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing.... -
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Azure SDK for Python
Active development of the Azure SDK for Python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs or our versioned developer docs. For your convenience, each service has a separate set of libraries that you can choose to use instead of one, large Azure package. To get started with a specific library, see the README.md (or README.rst) file located in the library's project folder. Last stable versions of packages that have been provided for usage... -
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PyTorch Ignite
Library to help with training and evaluating neural networks
..., simple function, class method, etc. Thus, we do not require to inherit from an interface and override its abstract methods which could unnecessarily bulk up your code and its complexity. Extremely simple engine and event system. Out-of-the-box metrics to easily evaluate models. Built-in handlers to compose training pipeline, save artifacts and log parameters and metrics. -
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StereoKit
An easy-to-use mixed reality library for building VR applications
StereoKit is an easy-to-use open source mixed reality library for building HoloLens and VR applications with C# and OpenXR! Inspired by libraries like XNA and Processing, StereoKit is meant to be fun to use and easy to develop with, yet still quite capable of creating professional and business-ready software. HoloLens 2, Oculus Quest, Windows Mixed Reality, Oculus Desktop, SteamVR, Monado (Linux), and eventually everywhere OpenXR is! Flat screen MR simulator with input emulation for easy... -
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GoCD
Main repository for GoCD, continuous delivery server
... a broken pipeline by tracking every change from commit to deploy in real time. Compare content, both files and commit messages, across any two arbitrary builds. GoCD integrates with many popular external tools and services via its extensible plugin architecture. We have put a lot of thought into making sure GoCD upgrades are painless and non-breaking even when you are using plugins. -
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Nuke
Image loading system
... and optimized for performance. Fast LRU memory cache, native HTTP disk cache, and custom aggressive LRU disk cache. Customize image pipeline using built-in Alamofire, Gifu, FLAnimatedImage, WebP plugins or create your own. Enable progressive decoding with a single line of code. Nuke supports progressive JPEG out of the box, and WebP via a plugin built by the community. Automatically prefetch images ahead of time using either Preheat or native table and collection view prefetching APIs. -
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Brunch
Web applications made easy
Brunch lets you focus on what matters most, solving real problems instead of messing around with the glue. By being opinionated about your build pipeline, Brunch is able to provide a smooth and fast experience, and makes your config files take a drastic cut. It doesn't take much to get around with brunch. 'brunch new' to create a new project. 'brunch build' to build. 'brunch watch' to live-compile. Installation is one-line, once you have node.js. You will find that the typical config... -
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AWS SDK for Go
AWS SDK for the Go programming language
Get started quickly using AWS with the AWS SDK for Go. The SDK makes it easy to integrate your Go application with the full suite of AWS services including Amazon S3, Amazon DynamoDB, Amazon SQS, and more. The AWS SDK for Go simplifies use of AWS services by providing a set of libraries that are consistent and familiar for Go developers. It supports higher level abstractions for simplified development, such as Amazon S3 Transfer Manager for seamless concurrent multi-part file uploads and... -
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Halide
A language for fast, portable data-parallel computation
... an in-memory representation of a Halide pipeline using Halide's C++ API. This representation can then be compiled to an object file, or a JIT-compile and run in the same process. Halide also comes with a Python binding, allowing the writing of Halide embedded in Python without C++.