Search Results for "ml-ant-http-1.1.3"
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Showing 3259 open source projects for "ml-ant-http-1.1.3"
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Rubix ML
A high-level machine learning and deep learning library for PHP
Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects. -
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applied-ml
Papers & tech blogs by companies sharing their work on data science
The applied-ml repository is a rich, curated collection of papers, technical articles, and case-study blog posts about how machine learning (ML) and data-driven systems are applied in real production environments by major companies. Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. ... -
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Ant Design
A UI Design Language and React UI library
Ant Design is an enterprise-class UI design language and React UI library that provides high quality React components out of the box. It’s considered one of the best React UI libraries for enterprises, with a whole package of design resources and development tools. -
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clj-http
An idiomatic clojure http client wrapping the apache client
clj-http is a popular Clojure library for making HTTP requests, built as a wrapper around Apache’s HttpClient. It uses Ring-style request/response maps and middleware, fitting seamlessly into idiomatic Clojure applications. clj-http allows coercing the body of the request either before it is sent (input coercion), or after it’s received (output coercion) from the server. -
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HTTP Kit
Clojure HTTP server/client library with WebSocket support
http-kit is a minimalist, event-driven, high-performance Clojure HTTP server/client library with WebSocket and asynchronous support. A simple, high-performance event-driven HTTP client+server for Clojure. HTTP Kit is an (almost) drop-in replacement for the standard Ring Jetty adapter. So you can use it with all your current libraries (e.g. -
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HTTP Server
A non-blocking HTTP application server for PHP based on Amp
This package provides a non-blocking HTTP/1.1 and HTTP/2 application server written in PHP based on Amp. Several features are provided in separate packages, such as the WebSocket component. The package was previously named amphp/aerys, but has been renamed to be easier to remember, as many people were having issues with the old name. Amp’s HTTP server is a non-blocking HTTP/1.1 and HTTP/2 application server written in PHP. -
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HTTP.jl
HTTP for Julia
HTTP.jl is a pure Julia implementation of the HTTP protocol, providing tools for building HTTP clients and servers. It enables users to send requests, handle responses, and construct REST APIs or web services entirely in Julia. HTTP.jl supports TLS, cookies, headers, streaming, and middleware, making it suitable for both simple scripting and full-scale web service development. -
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Ant Design Vue
An enterprise-class UI components based on Ant Design and Vue
Enterprise-class UI components based on Ant Design and Vue. An enterprise-class UI design system for desktop applications. A set of high-quality Vue components out of the box. Shared Ant Design of React design resources. Modern browsers. v1.x support Internet Explorer 9+ (with polyfills). We recommend using npm or yarn to install, it not only makes development easier but also allows you to take advantage of the rich ecosystem of Javascript packages and tooling. -
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Ant Design Blazor
A set of enterprise-class UI components
A design system for enterprise-level products. Create an efficient and enjoyable work experience. A rich set of enterprise-class UI components based on Ant Design and Blazor. Regularly synchronize with Official Ant Design specifications, you can check the sync logs online. Therefore, you can use the custom theme styles of Ant Design directly. Create a new project from the dotnet new template. Enterprise-class UI designed for web applications. A set of high-quality Blazor components out of the box. ... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Ant Design Pro
Out-of-box UI solution for enterprise applications
An out-of-box UI solution for enterprise applications as a React boilerplate. Ant Design Pro is a production-ready solution for admin interfaces. Built on the design principles developed by Ant Design, this project introduces higher level components; we have developed templates, components, and a corresponding design kit to improve the user and development experience for admin interfaces. Ant Design Pro is a front-end scaffolding. -
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HFS (HTTP File Server)
HFS is a web file server to run on your computer
HFS is a lightweight HTTP file server for Windows that allows users to share files over the web easily, turning their local machine into a file server. -
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DVC
Data Version Control | Git for Data & Models
DVC is built to make ML models shareable and reproducible. It is designed to handle large files, data sets, machine learning models, and metrics as well as code. Version control machine learning models, data sets and intermediate files. DVC connects them with code and uses Amazon S3, Microsoft Azure Blob Storage, Google Drive, Google Cloud Storage, Aliyun OSS, SSH/SFTP, HDFS, HTTP, network-attached storage, or disc to store file contents. -
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OptScale
FinOps and MLOps platform to run ML/AI and regular cloud workloads
Run ML/AI or any type of workload with optimal performance and infrastructure cost. 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. ... -
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Log HTTP requests
Log HTTP requests in Laravel applications
This package adds a middleware that can log incoming requests to the default log. If anything goes wrong during a user's request, you'll still be able to access the original request data sent by that user. This log acts as an extra safety net for critical user submissions, such as forms that generate leads. -
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lightning AI
The most intuitive, flexible, way for researchers to build models
Build in days not months with the most intuitive, flexible framework for building models and Lightning Apps (ie: ML workflow templates) which "glue" together your favorite ML lifecycle tools. Build models and build/publish end-to-end ML workflows that "glue" your favorite tools together. Models are “easy”, the “glue” work is hard. Lightning Apps are community-built templates that stitch together your favorite ML lifecycle tools into cohesive ML workflows that can run on your laptop or any cluster. ... -
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Machine Learning Tutorials Repository
Dive deep into the realms of Machine Learning and other topics
The Machine Learning Tutorials Repository is a comprehensive collection of resources, examples, and implementations designed to help users understand and apply machine learning concepts. It covers a wide range of topics, including supervised learning, unsupervised learning, neural networks, and data preprocessing techniques. The project is structured to provide both theoretical explanations and practical code examples, making it suitable for learners at different levels. It includes... -
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KServe
Standardized Serverless ML Inference Platform on Kubernetes
KServe provides a Kubernetes Custom Resource Definition for serving machine learning (ML) models on arbitrary frameworks. It aims to solve production model serving use cases by providing performant, high abstraction interfaces for common ML frameworks like Tensorflow, XGBoost, ScikitLearn, PyTorch, and ONNX. It encapsulates the complexity of autoscaling, networking, health checking, and server configuration to bring cutting edge serving features like GPU Autoscaling, Scale to Zero, and Canary Rollouts to your ML deployments. ... -
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TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript
TensorFlow.js is a library for machine learning in JavaScript. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js. Use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js. Retrain pre-existing ML models using your own data. Build and train models directly in JavaScript using flexible and intuitive APIs. Tensors are the core datastructure of TensorFlow.js They are a generalization of vectors and matrices to potentially higher dimensions. ... -
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Visual Blocks
Visual Blocks for ML is a Google visual programming framework
...Because everything lives in the browser, sharing is as simple as exporting a project or link, and collaborators can experiment without installing toolchains. For educators and product teams alike, Visual Blocks reduces the distance from idea to interactive proof-of-concept by turning ML diagrams. -
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Lux
The Lux Programming Language
...Read carefully before using this project, as the license disallows commercial use, and has other conditions which may be undesirable for some. The language is mostly inspired by the following 3 languages. Clojure (syntax, overall look & feel), Haskell (functional programming), and Standard ML (module system). They are implemented as plain-old data-structures whose expressions get eval'ed by the compiler and integrated into the type-checker. The main difference between Lux & Standard ML is that Standard ML separates interfaces/signatures and implementations/structures. -
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Groq Python
The official Python Library for the Groq API
...This makes it easy to integrate Groq-powered AI capabilities into backend services, data pipelines, research notebooks, or applications written in Python. For those building AI-based tooling, automation scripts, or ML-backed backends, groq-python abstracts away HTTP request plumbing and exposes a clean API, accelerating development and reducing boilerplate. -
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AntD Admin
An excellent front-end solution for enterprise applications
...Internationalization, extracting translation fields from source code, loading language packs on demand. Dynamic permissions, different permissions for different menus. Elegant and beautiful, Ant Design system. Mock data, local data debugging. -
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Flama
Fire up your models with the flame
Flama is a python library which establishes a standard framework for development and deployment of APIs with special focus on machine learning (ML). The main aim of the framework is to make ridiculously simple the deployment of ML APIs, simplifying (when possible) the entire process to a single line of code. The library builds on Starlette, and provides an easy-to-learn philosophy to speed up the building of highly performant GraphQL, REST and ML APIs. Besides, it comprises an ideal solution for the development of asynchronous and production-ready services, offering automatic deployment for ML models. -
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ML.NET
Open source and cross-platform machine learning framework for .NET
With ML.NET, you can create custom ML models using C# or F# without having to leave the .NET ecosystem. ML.NET lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, games, and IoT apps. ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. -
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Kepler
Kepler (Kubernetes-based Efficient Power Level Exporter)
Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics.
