Search Results for "ml"
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37 programs for "ml" with 2 filters applied:
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Save hundreds of developer hours with components built for SaaS applications.Whether you want full self-service analytics or simpler multi-tenant security, Qrvey’s embeddable components and scalable data management remove the guess work.
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UnionML
Build and deploy machine learning microservices
Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning. Using industry-standard machine... -
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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... -
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Union Pandera
Light-weight, flexible, expressive statistical data testing library
The open-source framework for precision data testing for data scientists and ML engineers. Pandera provides a simple, flexible, and extensible data-testing framework for validating not only your data but also the functions that produce them. A simple, zero-configuration data testing framework for data scientists and ML engineers seeking correctness. Access a comprehensive suite of built-in tests, or easily create your own validation rules for your specific use cases. Validate the functions... -
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StructuralEquationModels.jl
A fast and flexible Structural Equation Modelling Framework
... / automatic differentiation. You can choose to mix loss functions natively found in this package and those you provide. In such cases, you optimize over a sum of different objectives (e.g. ML + Ridge). This strategy also applies to gradients, where you may supply analytic gradients or opt for automatic differentiation or mixed analytical and automatic differentiation. You may consider using this package if you need extensibility and/or speed, and if you want to extend SEM. -
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Superduper
Superduper: Integrate AI models and machine learning workflows
Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. 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... -
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MLton
A whole-program optimizing compiler for Standard ML
MLton is a whole-program optimizing compiler for Standard ML. MLton generates small executables with excellent runtime performance, utilizing untagged and unboxed native integers, reals, and words, unboxed native arrays, fast arbitrary-precision arithmetic based on GnuMP, and multiple code generation and garbage collection strategies. In addition, MLton provides a feature rich Standard ML programming environment, with full support for SML97 as given in The Definition of Standard ML (Revised... -
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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
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The MinCaml Compiler
*** Moved to http://github.com/esumii/min-caml ***
*** Moved to http://github.com/esumii/min-caml *** MinCaml: An educational compiler from a tiny ML subset to the SPARC or PowerPC assembly language; Only 2000 lines of Objective Caml, but almost as efficient as---or even more efficient than---OCaml and GCC! -
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The aim of this project is to produce a software that will content two modules : - the first one will allow to conduct simulations of social behavior, - the second one will be able to produce philosophical considerations. The version version will be i
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Aleph is both a multi-platform machine learning framework aimed at simplicity and performance, and a library of selected state-of-the-art algorithms.
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The MyNOS project aims at developing a new and different operating system, based on high-level languages. MyNOS will be based on the OCaml bytecode interpreter. We'd like to explore microkernel architecture and new language definition too.
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The DUML project is 3 sub-projects: 1) Document Update Markup Language (DUML) which allows for updates of the DOM via server markup 2) Interpreted Application Markup Language (IAML) which provides markup based widgets. 3) A set of common libraries (JAS).
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OX is an XML integration into Objective-Caml, providing XML transducers based on pseudo-tree view. This gives a homogeneous view of XML within OCaml code, and lets users to manipulate such terms like any other ones, without constraint.
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KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
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Es handelt sich hier um ein Plugin-Projekt für Eclipse, ins Leben gerufen, da wir an der Uni SML programmiert haben und ich einfach keine manierliche Entwicklungsumgebung finden konnte.
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JSAX - JavaScript Abstractions for X(HT)ML This is a JavaScript framework which is compatibel with the latest versions of Mozilla, Opera, Konqueror(+safari) and M$-IE.
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The JavaScript Object Notation (JSON) is a simple and lightweight data interchange format. This project provides libraries for manipulating JSON objects for various languages. For more information on JSON, visit http://www.json.org/
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Framework for software component integration, interoperability and adoptability through a XML based vocabulary: Software Component Integration Mark-up Language (SCIML)
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From the XML definition of your database, DewDrop will generate clean and human-readable SQL DDL code for any supported target database. This means you can define your database just once in XML, and have it work for any database automatically.
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Protocol Specification Tool is a system for executable specification, verification and rapid prototyping of cryptographic protocols.
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mGTK is glue code to make GTK+ accessible from Standard ML. This provides a convenient way for SML programmers to add GUI features to applications. mGTK should work on all platforms where both Moscow ML and GTK+ are supported.
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A library which provides the same functionality as the Python/C API detailed at python.org, thus allowing objective caml programmers to provide python modules as native ocaml code, as well as allowing ocaml code to use python extensions.