Showing 1820 open source projects for "model-builder"

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  • 1
    Schema.DTS

    Schema.DTS

    JSON-LD TypeScript types for Schema vocabulary

    The project provides a comprehensive set of TypeScript typings based on the Schema vocabulary, enabling developers to author JSON-LD structured data with strong type safety. It supplies both high-level discriminated unions and helper types to model contexts, graphs, and linked data relationships with clarity and accuracy. Usage examples demonstrate how one can import types like Person, WithContext, or Graph and compose JSON-LD objects in a way that aligns with semantic-web and knowledge-graph practices. The repository also contains a generator tool that can pull ontology definitions and emit TypeScript definitions in bulk, ensuring the typings stay up to date and maintain consistency. ...
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    OpenAI .NET

    OpenAI .NET

    The official .NET library for the OpenAI API

    OpenAI .NET is the official client library for calling the OpenAI REST API from C# and other .NET languages, with first-class support for modern .NET patterns. It provides strongly typed clients across API areas (chat, audio, images, embeddings, moderations, batches, files, models, vector stores, responses, realtime, assistants) and works with .NET Standard 2.0 while the examples use .NET 8. You install it via NuGet and authenticate with an API key, ideally through environment variables or...
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  • 3
    FlashMLA

    FlashMLA

    FlashMLA: Efficient Multi-head Latent Attention Kernels

    FlashMLA is a high-performance decoding kernel library designed especially for Multi-Head Latent Attention (MLA) workloads, targeting NVIDIA Hopper GPU architectures. It provides optimized kernels for MLA decoding, including support for variable-length sequences, helping reduce latency and increase throughput in model inference systems using that attention style. The library supports both BF16 and FP16 data types, and includes a paged KV cache implementation with a block size of 64 to efficiently manage memory during decoding. On very compute-bound settings, it can reach up to ~660 TFLOPS on H800 SXM5 hardware, while in memory-bound configurations it can push memory throughput to ~3000 GB/s. ...
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  • 4
    Scalaz

    Scalaz

    Principled Functional Programming in Scala

    ...It implements classic abstractions such as Functor, Applicative, Monad, Monoid, Foldable, and Traverse, along with powerful transformers (ReaderT, StateT, WriterT, OptionT, and more) to structure effects. The library offers rich data structures—\/ (disjunction), Validation, NonEmptyList, IList, and Free—that help model errors, invariants, and interpretable programs. Its type class–oriented design lets you write generic algorithms over capabilities rather than concrete types, improving reuse and testability. Scalaz also contributes optics, equality/ordering abstractions, and lawful instances with property-based tests to ensure algebraic laws hold. ...
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    Koa

    Koa

    Expressive middleware for node.js using ES2017 async functions

    Koa is a minimal, expressive web framework for Node.js created by the team behind Express, built around modern JavaScript features. Its middleware system uses async functions and an “onion” execution model, producing clean, sequential control flow for request/response handling. Koa keeps the core small and unopinionated—there’s no built-in router or templating—so developers compose only the pieces they need. The framework exposes a refined Context object to standardize request and response utilities without obscuring Node’s primitives. ...
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  • 6
    Live Svelte

    Live Svelte

    Svelte inside Phoenix LiveView with seamless end-to-end reactivity

    ...This makes it straightforward to adopt Svelte for isolated, highly interactive widgets—charts, editors, complex form controls—without abandoning LiveView’s real-time model. The project aims to keep build tooling minimal and predictable, so teams can continue using familiar Phoenix asset pipelines. By enabling “islands” of Svelte within LiveView pages, live_svelte offers a pragmatic path to richer UX while preserving Elixir’s server-centric simplicity.
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  • 7
    Argo Workflows

    Argo Workflows

    Workflow engine for Kubernetes

    Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition). Define workflows where each step in the workflow is a container. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a directed acyclic graph (DAG). Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. Run CI/CD pipelines natively on Kubernetes without configuring complex software development products. ...
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  • 8
    Zotonic

    Zotonic

    The Erlang Web Framework & CMS

    Zotonic is the content management system and framework for semantic data and high-connectivity websites. Your data outlives your website. Grow your data and share your data. The Zotonic content management system excels in managing structured data from multiple sources. It brings structure to your documents and makes semantic data manageable for normal humans. Real-time connectivity is deeply integrated using the Internet of Things publish/subscribe protocol MQTT. You can rapidly develop...
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  • 9
    Dream Framework

    Dream Framework

    Tidy, feature-complete Web framework

    Dream is an easy-to-use, boilerplate-free Web framework, whose entire API fits on this page! It supports TLS, WebSockets, and GraphQL. HTTP/2 support is transparent. A nice log and OCaml runtime configuration. Easy-to-use, secure helpers for round-tripping cookies and forms. Templates that interleave OCaml with already-familiar HTML. A fully composable router. Session management with pluggable back ends; and unified error handling that leaks no English strings from any level of your app. You...
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  • 10
    PennyLane

    PennyLane

    A cross-platform Python library for differentiable programming

    ...Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. Quantum circuits can be set up to interface with either NumPy, PyTorch, JAX, or TensorFlow, allowing hybrid CPU-GPU-QPU computations. The same quantum circuit model can be run on different devices. Install plugins to run your computational circuits on more devices, including Strawberry Fields, Amazon Braket, Qiskit and IBM Q, Google Cirq, Rigetti Forest, and the Microsoft QDK.
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  • 11
    Gen.jl

    Gen.jl

    A general-purpose probabilistic programming system

    ...Gen features an easy-to-use modeling language for writing down generative models, inference models, variational families, and proposal distributions using ordinary code. But it also lets users migrate parts of their model or inference algorithm to specialized modeling languages for which it can generate especially fast code. Users can also hand-code parts of their models that demand better performance. Neural network inference is fast, but can be inaccurate on out-of-distribution data, and requires expensive training.
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  • 12
    DCV Color Primitives

    DCV Color Primitives

    DCV Color Primitives Library

    DCV Color Primitives is a library to perform image color model conversion. Aware of the underlying hardware and supplemental cpu extension sets (up to avx2). Support data coming from a single buffer or coming from multiple image planes. Support non-tightly packed data. Support images greater than 4GB (64 bit). Convert an image from bgra to nv12 (single plane) format containing yuv in BT601.
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  • 13
    AWS Amplify

    AWS Amplify

    A declarative JavaScript library for application development

    The Amplify open-source client libraries provide use-case-centric, opinionated, declarative, and easy-to-use interfaces across different categories of cloud-powered operations enabling mobile and web developers to easily interact with their backends. These libraries are powered by the AWS cloud and offer a pluggable model which can be extended to use other providers. The libraries can be used with both new backends created using the Amplify CLI and existing backend resources. The Amplify JavaScript libraries are supported for different web and mobile frameworks including React, React Native, Angular, Ionic, and Vue. It is recommended that you first complete the Getting Started guide for Amplify JavaScript. ...
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  • 14
    JsonApiDotNetCore

    JsonApiDotNetCore

    A framework for building JSON:API compliant REST APIs using ASP.NET

    A framework for building JSON:API compliant REST APIs using .NET Core and Entity Framework Core. Includes support for Atomic Operations. The goal of this library is to simplify the development of APIs that leverage the full range of features provided by the JSON:API specification. You just need to focus on defining the resources and implementing your custom business logic. We strive to eliminate as much boilerplate as possible by offering out-of-the-box features such as sorting, filtering...
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  • 15
    YAO

    YAO

    Yao A low code engine to create web services and dashboard

    Yao allows developers to create web services by processes. Yao is a low-code engine that creates a database model, writes API services, and describes dashboard interface just by JSON for web & hardware, no code, and 10x productivity. Yao is based on the flow-based programming idea, developed in the Go language, and supports multiple ways to expand the data stream processor. This makes Yao extremely versatile, which can replace programming languages ​​in most scenarios, and is 10 times more efficient than traditional programming languages ​​in terms of reusability and coding efficiency; application performance and resource ratio Better than PHP, JAVA and other languages. ...
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  • 16
    OrientDB

    OrientDB

    DBMS supporting graph, document, full-text and geospatial models

    OrientDB is an Open Source Multi-Model NoSQL DBMS with the support of Native Graphs, Documents, Full-Text search, Reactivity, Geo-Spatial and Object Oriented concepts. It's written in Java and it's amazingly fast. No expensive run-time JOINs, connections are managed as persistent pointers between records. You can traverse thousands of records in no time. Supports schema-less, schema-full and schema-mixed modes.
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  • 17
    DGL

    DGL

    Python package built to ease deep learning on graph

    ...DGL empowers a variety of domain-specific projects including DGL-KE for learning large-scale knowledge graph embeddings, DGL-LifeSci for bioinformatics and cheminformatics, and many others. We are keen to bringing graphs closer to deep learning researchers. We want to make it easy to implement graph neural networks model family. We also want to make the combination of graph based modules and tensor based modules (PyTorch or MXNet) as smooth as possible. DGL provides a powerful graph object that can reside on either CPU or GPU. It bundles structural data as well as features for a better control. We provide a variety of functions for computing with graph objects including efficient and customizable message passing primitives for Graph Neural Networks.
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  • 18
    Bend

    Bend

    A massively parallel, high-level programming language

    Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic...
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  • 19
    EasyZSwoole

    EasyZSwoole

    swoole, easyswoole, swoole framework

    EasySwoole is a distributed swoole framework with a permanent memory. It is born specifically for API and supports the simultaneous monitoring of HTTP, WebSocket, self-defined TCP, UDP protocol, and has rich components, such as collaboration Connect Pool, TP style co-process ORM, co-process microcredit SDK, co-process Kafka client, co-process ElasticSearch client, co-process Consul client, co-process Redis client, co-process Apollo client, co-process NSQ client, co-process self-definition...
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  • 20
    Micrometer

    Micrometer

    App observability facade for the most popular observability tools

    ...Think SLF4J, but for observability. Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric with the ability to drill down across its dimensions. Out-of-the-box instrumentation of caches, the class loader, garbage collection, processor utilization, thread pools, and more tailored to actionable insight. Micrometer is the instrumentation library powering the delivery of application observability from Spring Boot applications.
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  • 21
    Imagen - Pytorch

    Imagen - Pytorch

    Implementation of Imagen, Google's Text-to-Image Neural Network

    ...It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior network is needed after all. And so research continues. For simpler training, you can directly supply text strings instead of precomputing text encodings. ...
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  • 22
    Render Farm Deployment Kit on AWS (RFDK)

    Render Farm Deployment Kit on AWS (RFDK)

    Library for use with the AWS Cloud Development Kit

    The Render Farm Deployment Kit on AWS (RFDK) is an open-source software development kit (SDK) that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. It offers high-level object-oriented abstractions to define render farm infrastructure using the power of Python and Typescript. The Render Farm Deployment Kit (RFDK) on AWS is an open-source software development kit that can be used to deploy, configure, and manage your render farm infrastructure in the...
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  • 23
    AWS Node Termination Handler

    AWS Node Termination Handler

    Gracefully handle EC2 instance shutdown within Kubernetes

    ...Amazon Elastic Compute Cloud (Amazon EC2) offers the broadest and deepest compute platform, with over 500 instances and a choice of the latest processor, storage, networking, operating system, and purchase model to help you best match the needs of your workload. We are the first major cloud provider that supports Intel, AMD, and Arm processors, the only cloud with on-demand EC2 Mac instances, and the only cloud with 400 Gbps Ethernet networking.
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  • 24
    directus

    directus

    Directus wraps any SQL database with a real-time GraphQL+REST API

    ...Our modular codebase is 100% JavaScript, leveraging the power of Node.js and Vue.js 3 for blazing performance and easy extensibility. You remain in complete control of your new or existing database. No need to migrate to a proprietary data model, so there's no vendor lock-in. Directus is the world's leading Open Data Platform, with millions of downloads, thousands of active developers, and we're just getting warmed up. Start with a new or existing database, using any SQL vendor, Directus takes care of the rest. The Directus API layers on top of your database, providing both REST and GraphQL APIs for your data.
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  • 25
    AWS SDK for Go

    AWS SDK for Go

    AWS SDK for the Go programming language

    ...It supports higher level abstractions for simplified development, such as Amazon S3 Transfer Manager for seamless concurrent multi-part file uploads and Amazon DynamoDB AttributeValue and Expression utilities for easy integration of your application Go types. The SDK takes advantage of modern Go language features. You can use Go modules to model service dependencies required by your application, and control when they should update. You can also take advantage of error wrapping feature in Go.
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