Search Results for "model-builder" - Page 8
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Showing 1818 open source projects for "model-builder"
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Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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Apache Beam
Unified programming model for Batch and Streaming
Apache Beam is an open source, unified programming model to define both batch and streaming data-parallel processing pipelines, as well as certain language-specific SDKs for constructing pipelines and Runners. These pipelines are executed on one of Beam’s supported distributed processing back-ends, which include Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Beam is especially useful for Embarrassingly Parallel data processing tasks, and caters to the different needs and backgrounds of end users, SDK writers and runner writers. -
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Seldon Core
An MLOps framework to package, deploy, monitor and manage models
...Seldon Core, our open-source framework, makes it easier and faster to deploy your machine learning models and experiments at scale on Kubernetes. Seldon Core serves models built in any open-source or commercial model building framework. You can make use of powerful Kubernetes features like custom resource definitions to manage model graphs. And then connect your continuous integration and deployment (CI/CD) tools to scale and update your deployment. Built on Kubernetes, runs on any cloud and on-premises. Framework agnostic, supports top ML libraries, toolkits and languages. ... -
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SageMaker Training Toolkit
Train machine learning models within Docker containers
...Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and reliable training process. The SageMaker Training Toolkit can be easily added to any Docker container, making it compatible with SageMaker for training models. ... -
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Node.js
Cross-platform JavaScript runtime environment
Node.js is a free, open-source, cross-platform JavaScript runtime environment that allows developers to run JavaScript outside of the browser. It is built on Chrome’s V8 engine and is designed for building fast, scalable network applications. Node.js enables developers to create servers, APIs, command-line tools, and full-stack web applications using a single programming language. Its non-blocking, event-driven architecture makes it highly efficient for handling concurrent requests. The... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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FlowLens MCP
Open-source MCP server that gives your coding agent
...It works together with a companion browser extension: when a user reproduces a bug or a complicated UI interaction, the extension captures a rich session log, including screen/video recording, network traffic, console logs, DOM events, storage changes, and more, and exports it. The MCP server then loads this captured “flow” and exposes it to the AI agent via the Model Context Protocol (MCP), letting the agent examine, search, filter, and reason about the session just as a human developer would, without needing the agent to re-run the flow or rely on minimal reproduction data (logs, screenshots). -
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Llama Stack
Composable building blocks to build Llama Apps
Llama-Stack is an open-source framework designed to facilitate the deployment and fine-tuning of large language models (LLMs) for various natural language processing tasks. -
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Helix Editor
A post-modern modal text editor
A Kakoune / Neovim inspired editor, written in Rust. The editing model is very heavily based on Kakoune. -
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Ollama-rs
A simple and easy-to-use library for interacting with the Ollama API
...It follows the official Ollama API closely, ensuring compatibility while offering an idiomatic Rust experience with strong typing and asynchronous execution. The library supports a wide range of operations, including text generation, chat interactions, embeddings, and model management, making it suitable for both simple applications and more advanced AI workflows. It includes streaming capabilities for real-time output, allowing developers to process responses incrementally rather than waiting for full completions. The project also introduces support for tool calling and custom function integration, enabling more dynamic and agent-like behavior within applications. -
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carbon-components-svelte
Svelte implementation of the Carbon Design System
...Rather than being a small collection of ad hoc widgets, it functions as a comprehensive component library intended to support design reuse, predictable development, and long-term extensibility across products. Because it is tied to Carbon, the project is especially valuable for teams that want a well-established visual language and interaction model instead of inventing one from scratch. The library also sits within a broader Carbon Svelte ecosystem that includes icon components, pictograms, charts, and preprocessors, which makes it possible to assemble full product interfaces with a unified design vocabulary. Its styling model supports multiple official themes. -
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wasm-bindgen
Facilitating high-level interactions between Wasm modules and Js
...The tool automates the process of bridging differences between Rust’s type system and JavaScript’s dynamic environment, making cross-language integration significantly easier. One of its key design principles is efficiency, following a “pay only for what you use” model where only the required bindings are generated, minimizing unnecessary overhead. It also integrates into modern build pipelines through tools like wasm-pack. -
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AI Commits
A CLI that writes your git commit messages for you with AI
AI Commits is a command-line tool that writes your git commit messages for you using an AI model. It works by running git diff to gather your staged code changes, sending that diff to an LLM (originally GPT-3, now configurable), and receiving back a concise, human-readable commit message. The tool is designed to integrate cleanly into a developer’s workflow so that generating a descriptive commit message becomes a single command rather than a chore. -
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Ray
A unified framework for scalable computing
...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. Find the best model and reduce training costs by using the latest optimization algorithms. Deploy your machine learning models at scale with Ray Serve, a Python-first and framework agnostic model serving framework. Scale reinforcement learning (RL) with RLlib, a framework-agnostic RL library that ships with 30+ cutting-edge RL algorithms including A3C, DQN, and PPO. ... -
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Diligent Engine
A modern cross-platform low-level graphics library
Diligent Engine is a modern, cross-platform, low-level graphics library and rendering framework. It abstracts platform-specific graphics APIs like Direct3D, Vulkan, and OpenGL, providing a unified interface for graphics programming. Diligent Engine is designed for high performance and flexibility, making it suitable for a wide range of applications, from games to scientific simulations. -
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Modeltranslation
Translates Django models using a registration approach
The modeltranslation application is used to translate dynamic content of existing Django models to an arbitrary number of languages without having to change the original model classes. It uses a registration approach (comparable to Django's admin app) to be able to add translations to existing or new projects and is fully integrated into the Django admin backend. The advantage of a registration approach is the ability to add translations to models on a per-app basis. You can use the same app in different projects, may they use translations or not, and you never have to touch the original model class. -
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GitLab
Please open new issues in our issue tracker on GitLab
...Built around Git repositories and merge-request workflows, it tightly integrates continuous integration, automated testing, code review, and release orchestration so teams can move from idea to production within a unified UI and policy model. GitLab’s features extend into the operational lifecycle—container registries, infrastructure as code, monitoring dashboards, and incident management—allowing platform teams to define guardrails and compliance as code across projects and groups. It supports extensive automation via pipelines, runners, webhooks, and a comprehensive REST/GraphQL API, enabling complex workflows like canary deployments, feature flagging, and security scanning as part of merge request gates. -
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Spring Initializr
A quickstart generator for Spring projects
A quickstart generator for Spring projects. The various options for the projects are expressed in a metadata model that allows you to configure the list of dependencies, supported JVM and platform versions, etc. Spring Initializr also exposes web endpoints to generate an actual project and also serve its metadata in a well-known format to allow third-party clients to provide the necessary assistance. A set of optional conventions for Spring Boot projects is provided and are used in our production instance at https://start.spring.io. ... -
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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
...Trellis also includes tooling for monitoring, scheduling, and tracing the execution of complex multi-step jobs, helping teams maintain visibility into how work progresses and where bottlenecks emerge. The platform can integrate with external services, databases, and model endpoints, making it suitable for automation, ETL pipelines, AI-driven processes, and business logic orchestration. -
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dejavu
The missing web UI for Elasticsearch
...Existing web UIs leave much to be desired or are built with server-side page rendering techniques that make it less responsive and bulkier to run (I am looking at you, Kibana). We started building dejavu with the goal of creating a modern Web UI (no page reloads, infinite scroll, filtered views, realtime updates, search UI builder) for Elasticsearch with 100% client-side rendering so one can easily run it as a hosted app on github pages, as a chrome extension or as a docker image. Starting v1.0, dejavu is the only Elasticsearch web UI that supports importing data via JSON and CSV files, as well as defining field mappings from the GUI. Starting with v3.0, we support the ability to connect to multiple indexes. ... -
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Wagtail
A Django content management system focused on flexibility & UX
Wagtail is a powerful, open source content management system that’s focused on flexibility and user experience. Built on Django, Wagtail offers precise control and flexibility for designers, developers and editors. Designed by developers for developers, Wagtail plays nicely with everything else in your tech stack so you can do more and focus on perfecting your site. Designers will find Wagtail’s simple templating system ideal for building beautiful websites just the way they want, without... -
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sdk-js
JavaScript / TypeScript SDK for building Astrid OS capsules
sdk-js is a JavaScript and TypeScript SDK for building Astrid capsules. It gives developers a way to create capsule binaries that match the same WIT contract, WASI P2 Component Model output, and archive format used by the Rust SDK. The project is designed so the Astrid runtime can treat capsules the same regardless of whether they were built in JavaScript, TypeScript, or Rust. Its developer experience is shaped around familiar JavaScript patterns such as Node-style file APIs, WHATWG conventions, and event-driven behavior. ... -
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Claude Quickstarts
A collection of projects for building deployable applications
...Because it’s designed as a learning and prototyping resource, Claude Quickstarts supports exploration of interactive applications, backend services, and workflows that benefit from large language model capabilities. -
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MLJBase.jl
Core functionality for the MLJ machine learning framework
Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ. -
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django-prometheus
Export Django monitoring metrics for Prometheus.io
...Just replace the ENGINE property of your database, replacing django.db.backends with django_prometheus.db.backends. You may want to monitor the creation/deletion/update rate for your model. This can be done by adding a mixin to them. This is safe to do on existing models (it does not require a migration). Note that the exported metrics are counters of creations, modifications and deletions done in the current process. They are not gauges of the number of objects in the model. -
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Yuki Hook API
An efficient Hook API and Xposed Module solution built in Kotlin
An efficient Hook API and Xposed Module solution built in Kotlin. The automatic builder can help you quickly create an Xposed Module, automatic configure the entry class and xposed_init files. A powerful, elegant, beautiful API built with Kotlin lambda can help you quickly implement method Hook and more convenient functions. A rich debug log function, detailing the name of each hooked method, time-consuming to find the class can quickly debug and find errors. -
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Soufflé
Datalog variant for tool designers crafting analyses in Horn clauses
...Efficient translation to parallel C++ of Datalog programs (CAV'16, CC'16) Efficient interpretation using de-specialization techniques (PLDI'21) Specialized data structure for relations (PACT'19, PPoPP'19, PMAM'19) with optimal index selection (VLDB'18) Extended semantics of Datalog, e.g., permitting unbounded recursions with numbers and terms. Simple component model for Datalog specifications. Recursively defined record types/ADTs (aka. constructors) for tuples. User-defined functors. Strongly-typed types for safety. Subsumption, aggregation, Choice Construct (APLAS'21).
