Search Results for "ml-ant-http-1.1.3"
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Showing 18747 open source projects for "ml-ant-http-1.1.3"
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HTTP
Rust HTTP types
...You will notably not find an implementation of sending requests or spinning up a server in this crate. It’s intended that this crate is the “standard library” for HTTP clients and servers without dictating any particular implementation. Note that this crate is still early on in its lifecycle so the support libraries that integrate with the http crate are a work in progress! Stay tuned and we’ll be sure to highlight crates here in the future. -
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AIDE ML
AI-Driven Exploration in the Space of Code
AIDE ML is an open-source research framework designed to explore automated machine learning development through agent-based search and code optimization. The project implements the AIDE algorithm, which uses a tree-search strategy guided by large language models to iteratively generate, evaluate, and refine code. Instead of relying on manual experimentation, the agent autonomously drafts machine learning pipelines, debugs errors, and benchmarks performance against user-defined evaluation metrics. ... -
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ML Retreat
Machine Learning Journal for Intermediate to Advanced Topics
ML Retreat is an open-source learning repository that serves as a structured journal documenting advanced topics in machine learning and artificial intelligence. The project compiles detailed notes, technical explanations, and curated resources that guide readers through complex concepts across modern AI research. Rather than functioning as a traditional tutorial series, the repository is organized as a learning journey that progressively explores increasingly advanced subjects. ... -
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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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ML-NLP
This project is a common knowledge point and code implementation
ML-NLP is a large open-source repository that collects theoretical knowledge, practical explanations, and code examples related to machine learning, deep learning, and natural language processing. The project is designed primarily as a learning resource for algorithm engineers and students preparing for technical interviews in machine learning or NLP roles. -
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Made With ML
Learn how to develop, deploy and iterate on production-grade ML
Made-With-ML is an open-source educational repository and course designed to teach developers how to build production-grade machine learning systems using modern MLOps practices. The project focuses on bridging the gap between experimental machine learning notebooks and real-world software systems that can be deployed, monitored, and maintained at scale. -
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Causal ML
Uplift modeling and causal inference with machine learning algorithms
Causal ML is a Python package that provides a suite of uplift modeling and causal inference methods using machine learning algorithms based on recent research [1]. It provides a standard interface that allows users to estimate the Conditional Average Treatment Effect (CATE) or Individual Treatment Effect (ITE) from experimental or observational data. -
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ML Sharp
Sharp Monocular View Synthesis in Less Than a Second
ML Sharp is a research code release that turns a single 2D photograph into a photorealistic 3D representation that can be rendered from nearby viewpoints. Instead of requiring multi-view input, it predicts the parameters of a 3D Gaussian scene representation directly from one image using a single forward pass through a neural network. -
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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. ... -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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ML Ferret
Refer and Ground Anything Anywhere at Any Granularity
Ferret is Apple’s end-to-end multimodal large language model designed specifically for flexible referring and grounding: it can understand references of any granularity (boxes, points, free-form regions) and then ground open-vocabulary descriptions back onto the image. The core idea is a hybrid region representation that mixes discrete coordinates with continuous visual features, so the model can fluidly handle “any-form” referring while maintaining precise spatial localization. The repo... -
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ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
...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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River ML
Online machine learning in Python
River is a Python library for online machine learning. It aims to be the most user-friendly library for doing machine learning on streaming data. River is the result of a merger between creme and scikit-multiflow. -
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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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Core ML Tools
Core ML tools contain supporting tools for Core ML model conversion
Use Core ML Tools (coremltools) to convert machine learning models from third-party libraries to the Core ML format. This Python package contains the supporting tools for converting models from training libraries. Core ML is an Apple framework to integrate machine learning models into your app. Core ML provides a unified representation for all models. -
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Akka HTTP
The Streaming-first HTTP server/module of Akka
The Akka HTTP modules implement a full server- and client-side HTTP stack on top of akka-actor and akka-stream. It’s not a web framework but rather a more general toolkit for providing and consuming HTTP-based services. While interaction with a browser is of course also in scope it is not the primary focus of Akka HTTP. Akka HTTP follows a rather open design and many times offers several different API levels for “doing the same thing”. -
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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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machine_learning_examples
A collection of machine learning examples and tutorials
machine_learning_examples is an open-source repository that provides a large collection of machine learning tutorials and practical code examples. The project aims to teach machine learning concepts through hands-on programming rather than purely theoretical explanations. It includes implementations of many machine learning algorithms and neural network architectures using Python and popular libraries such as TensorFlow and NumPy. The repository covers a wide range of topics including... -
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ml.js
Machine learning tools in JavaScript
...If you are working with Node.js, you might prefer to add to your dependencies only the libraries that you need, as they are usually published to npm more often. We prefix all our npm package names with ml- (eg. ml-matrix) so they are easy to find. -
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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 Media Server
Adaptive, ultra low latency streaming
Real-time streaming engine delivers content with sub-0.5secs latency. Ant Media Server supports WebRTC, CMAF, HLS, RTMP, RTSP, SRT, Zixi and more for your needs. Ant Media Server is a real-time streaming engine software that provides adaptive, ultra low latency streaming by using WebRTC technology with ~0.5 seconds latency. Ant Media Server is auto-scalable and can run on-premise or on-cloud. Increase interaction and experience real-time video streaming. -
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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 0.13.6
A composable API for making HTTP requests in Dart
A composable, Future-based library for making HTTP requests. This package contains a set of high-level functions and classes that make it easy to consume HTTP resources. It's multi-platform and supports mobile, desktop, and browser. The easiest way to use this library is via the top-level functions. They allow you to make individual HTTP requests with minimal hassle. If you're making multiple requests to the same server, you can keep open a persistent connection by using a Client rather than making one-off requests. ... -
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HTTP Factories
Implementation of PSR-17 (HTTP Message Factories)
Implementation of PSR-17 (HTTP Message Factories) This repository holds all interfaces related to PSR-17 (HTTP Factories). Note that this is not a HTTP Factory implementation of its own. It is merely interfaces that describe the components of a HTTP Factory. The installable package and implementations are listed on Packagist. PSR-7 did not include a recommendation on how to create HTTP objects, which leads to difficulties when needing to create new HTTP objects within components that are not tied to a specific implementation of PSR-7. ... -
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HTTP Client
Async HTTP/1.1+2 client for PHP based on Amp
This package provides an asynchronous HTTP client for PHP based on Amp. Its API simplifies standards-compliant HTTP resource traversal and RESTful web service consumption without obscuring the underlying protocol. The library manually implements HTTP over TCP sockets; as such it has no dependency on ext/curl. Streams entity bodies for memory management with large transfers. -
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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.
