Search Results for "model-builder" - Page 80
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Showing 6999 open source projects for "model-builder"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
...The repository includes quizzes, solutions, and instructor materials to make the content usable in classrooms or self-study. It emphasizes ethical considerations and model evaluation—accuracy is not the only metric—so students learn to validate and communicate results responsibly. By the end, participants can build end-to-end ML experiments, interpret outputs, and iterate with confidence rather than just copying code. -
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Hunyuan3D-1
A Unified Framework for Text-to-3D and Image-to-3D Generation
Hunyuan3D-1 is an earlier version in the same 3D generation line (the unified framework for text-to-3D and image-to-3D tasks) by Tencent Hunyuan. It provides a framework combining shape generation and texture synthesis, enabling users to create 3D assets from images or text conditions. While less advanced than version 2.1, it laid the foundations for the later PBR, higher resolution, and open-source enhancements. (Note: less detailed public documentation was found for Hunyuan3D-1 compared to... -
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Gradle JOOQ Plugin
Gradle plugin that integrates jOOQ
...It supports customization of generator options, such as output directories, package names, and which tables or schemas to include. By automating schema-to-code generation, the plugin keeps the application’s data model and database in sync. This reduces runtime errors and increases productivity by making database interactions strongly typed and integrated into the development workflow. -
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Elixir Companies
A list of companies currently using Elixir in production
...Beyond simple listings, the project highlights the breadth of Elixir usage—from startups to large enterprises—and helps newcomers see real-world adoption. The codebase itself is an example Phoenix application, offering a transparent, collaborative model for community content. Over time, the directory has become a reference point frequently cited when assessing Elixir’s ecosystem health and job market. -
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Dive
Dive is an open-source MCP Host Desktop Application
Dive is an open‑source MCP host desktop application that serves as a bridge between MCP servers and any large language models supporting function calling, designed to deliver a seamless AI agent experience across environments. Compatible with ChatGPT, Anthropic, Ollama and OpenAI-compatible models. Enabling seamless MCP AI agent integration on both stdio and SSE mode. One-click access to managed MCP servers via OAPHub.ai - eliminates complex local deployments. Modern Tauri version alongside... -
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Superduper
Superduper: Integrate AI models and machine learning workflows
...Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. This allows developers to completely avoid implementing MLOps, ETL pipelines, model deployment, data migration, and synchronization. Using Superduper is simply "CAPE": Connect to your data, apply arbitrary AI to that data, package and reuse the application on arbitrary data, and execute AI-database queries and predictions on the resulting AI outputs and data. -
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Lago
Open Source Metering and Usage Based Billing API
Lago offers a self-hosted and cloud, scalable and modular architecture for metering and usage-based billing, at every stage of your company. Ingest up to 15,000 billing events per second. Lago’s event-based architecture provides a solid foundation for building a fair pricing model that scales with your business. Lago supports all pricing models. Create pay-as-you-go and hybrid plans in no time with our intuitive user interface or API. Create engaging marketing campaigns and increase conversion with coupons that customers can redeem to get a discount. Lago allows you to create one-time charges that are invoiced on the fly. ... -
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Bytewax
Python Stream Processing
...Connect data sources, run stateful transformations, and write to various downstream systems with built-in connectors or existing Python libraries. Bytewax is a Python framework and Rust distributed processing engine that uses a dataflow computational model to provide parallelizable stream processing and event processing capabilities similar to Flink, Spark, and Kafka Streams. You can use Bytewax for a variety of workloads from moving data à la Kafka Connect style all the way to advanced online machine learning workloads. Bytewax is not limited to streaming applications but excels anywhere that data can be distributed at the input and output. -
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Semantic Router
Superfast AI decision making and processing of multi-modal data
Semantic Router is a superfast decision-making layer for your LLMs and agents. Rather than waiting for slow, unreliable LLM generations to make tool-use or safety decisions, we use the magic of semantic vector space — routing our requests using semantic meaning. Combining LLMs with deterministic rules means we can be confident that our AI systems behave as intended. Cramming agent tools into the limited context window is expensive, slow, and fundamentally limited. Semantic Router enables... -
One App to Replace Your Entire SaaS StackClickUp replaces your scattered tool stack with one AI-powered platform. Stop paying for project management, docs, chat, and time tracking separately when they all live in one place. Teams that consolidate into ClickUp cut software costs and move faster because everything is connected, not siloed across apps that don't talk to each other.
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UMAP
Uniform Manifold Approximation and Projection
Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualization similarly to t-SNE, but also for general non-linear dimension reduction. It is possible to model the manifold with a fuzzy topological structure. The embedding is found by searching for a low-dimensional projection of the data that has the closest possible equivalent fuzzy topological structure. First of all UMAP is fast. It can handle large datasets and high dimensional data without too much difficulty, scaling beyond what most t-SNE packages can manage. ... -
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AtomicServer
An open source headless CMS / real-time database
Create, share, fetch, and model Atomic Data! AtomicServer is a lightweight, yet powerful CMS / Graph Database. Atomic Data is a modular specification for sharing, modifying, and modeling graph data. It combines the ease of use of JSON, the connectivity of RDF (linked data), and the reliability of type-safety. Atomic Data uses links to connect pieces of data, and therefore makes it easier to connect datasets to each other - even when these datasets exist on separate machines. -
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zag
Finite state machines for building accessible design systems and UI
A collection of framework-agnostic UI components patterns like an accordion, menu, and dialog that can be used to build design systems for React, Vue, and Solid.js. Simple, resilient component logic. Write component logic once and use it anywhere. Built-in adapters that connect machine output to DOM semantics in a WAI-ARIA-compliant way. Component logic is largely JavaScript code and can be consumed in any JS framework. Zag machine APIs are completely headless and unstyled. Use your favorite... -
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CWhy
Explains and suggests fixes for compile-time errors for C, C++, C#, Go
...Your account will need to have a positive balance for this to work (check your OpenAI balance). CWhy currently defaults to GPT-4, and falls back to GPT-3.5-turbo if a request error occurs. For the newest and best model (GPT-4) to work, you need to have purchased at least $1 in credits (if your API account was created before August 13, 2023) or $0.50 (if you have a newer API account). -
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Eloquent Viewable
Associate views with Eloquent models in Laravel
Sometimes you don't want to pull in a third-party service like Google Analytics to track your application's page views. Then this package comes in handy. Eloquent Viewable allows you to easily associate views with Eloquent models. It's designed with simplicity in mind. This package stores each view record individually in the database. The advantage of this is that it allows us to make very specific counts. For example, if we want to know how many people has viewed a specific post between... -
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OptScale
FinOps and MLOps platform to run ML/AI and regular cloud workloads
...OptScale allows ML teams to multiply the number of ML/AI experiments running in parallel while efficiently managing and minimizing costs associated with cloud and infrastructure resources. OptScale MLOps capabilities include ML model leaderboards, performance bottleneck identification and optimization, bulk run of ML/AI experiments, experiment tracking, and more. The solution enables ML/AI engineers to run automated experiments based on datasets and hyperparameter conditions within the defined infrastructure budget. Certified FinOps solution with the best cloud cost optimization engine, providing rightsizing recommendations, Reserved Instances/Savings Plans, and dozens of other optimization scenarios. ... -
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BetaML.jl
Beta Machine Learning Toolkit
The Beta Machine Learning Toolkit is a package including many algorithms and utilities to implement machine learning workflows in Julia, Python, R and any other language with a Julia binding. All models are implemented entirely in Julia and are hosted in the repository itself (i.e. they are not wrapper to third-party models). If your favorite option or model is missing, you can try to implement it yourself and open a pull request to share it (see the section Contribute below) or request its implementation. Thanks to its JIT compiler, Julia is indeed in the sweet spot where we can easily write models in a high-level language and still have them running efficiently. -
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Mobility
Pluggable Ruby translation framework
...The default way to store translations is to put them all in a set of two shared tables, but many alternatives are also supported, including translatable columns and model translation tables, as well as database-specific storage solutions such as json/jsonb and Hstore (for PostgreSQL). -
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Easy Random
The simple, stupid random Java beans/records generator
...This method is able to generate a random instance of any arbitrary Java bean. Populating a Java object with random data can look easy at first glance, unless your domain model involves many related classes. -
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Z-BlogPHP
Z-BlogPHP blog program
Z-BlogPHP is a blog program provided by the Z-Blog community and has been committed to providing excellent blog writing experience to domestic users. The first edition has been released since 2005 and has a history of 18 years. It is one of the few open-source CMS systems that continue to provide updates in China. Our goal is to immerse users in writing and record life, without paying attention to cumbersome settings, etc., and let users focus on creation. For users, it is simple and easy to... -
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Http4s
A minimal, idiomatic Scala interface for HTTP
Http4s is a minimal, idiomatic Scala interface for HTTP services. Http4s is Scala's answer to Ruby's Rack, Python's WSGI, Haskell's WAI, and Java's Servlets. http4s servers and clients share an immutable model of requests and responses. Standard headers are modeled as semantic types, and entity codecs are done by typeclass. The pure functional side of Scala is favored to promote composability and easy reasoning about your code. I/O is managed through cats-effect. http4s is built on FS2, a streaming library that provides for processing and emitting large payloads in constant space and implementing websockets. http4s cross-builds for Scala.js and Scala Native. ... -
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ChatGPT Discord Bot
Integrate ChatGPT into your own discord bot
Build your own Discord bot using ChatGPT. Using certain personas may generate vulgar or disturbing content. Use at your own risk. Public mode (default), the bot directly replies on the channel. The bot's reply can only be seen by the person who used the command. Invite your bot to your server via OAuth2 URL Generator. Email/Password authentication (Not supported for Google/Microsoft accounts). A system prompt would be invoked when the bot is first started or reset. You can set it up by... -
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H2O Wave
Realtime Web Apps and Dashboards for Python and R
...Broadcast live information, visualizations, and graphics using Wave's low-latency real-time server. Instant control over every connected web browser using a simple and intuitive programming model. Preview your app live as you code. Dramatically reduce the time and effort to build web apps. Easily share your apps with end-users, get feedback, improve and iterate. ~10MB static executables for Linux, Windows, OSX, BSD, Solaris on AMD64, 386, ARM, PPC. Run it on a RPi Zero for great good! -
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SOFA
The best way to create REST APIs
...For example, when fetching a list of chats you don't want to include all messages in the response, you want them to be just IDs (or links). Those messages would have to have their own endpoint. We call this type of data, a Model. In REST you probably call them Resources. -
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LinDB
LinDB is a scalable, high performance, high availability database
...A single server could easily support more than one million write TPS; With fundamental techniques like efficient compression storage and parallel computing, LinDB delivers highly optimized query performance. The multi-channel replication protocol supports any amount of nodes, and ensures the system's availability. Schema-free multi-dimensional data model with Metric, Tags, and Fields; The LinQL is flexible yet handy for real-time data analytics. Horizontal scalable is made simple by adding more new broker and storage nodes without too much thinking and manual operations. And the tags-based sharding strategy resolves the hotspot problem. LinDB is designed to work under a Multi-Active IDCs cloud architecture. ... -
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Agones
Dedicated Game Server Hosting and Scaling for Multiplayer Games
...With Agones, Kubernetes gets native abilities to create, run, manage and scale dedicated game server processes within Kubernetes clusters using standard Kubernetes tooling and APIs. This model also allows any matchmaker to interact directly with Agones via the Kubernetes API.
