Search Results for "ml"
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71 programs for "ml" with 1 filter 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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MLflow
Open source platform for the machine learning lifecycle
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). -
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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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NVIDIA FLARE
NVIDIA Federated Learning Application Runtime Environment
NVIDIA Federated Learning Application Runtime Environment NVIDIA FLARE is a domain-agnostic, open-source, extensible SDK that allows researchers and data scientists to adapt existing ML/DL workflows(PyTorch, TensorFlow, Scikit-learn, XGBoost etc.) to a federated paradigm. It enables platform developers to build a secure, privacy-preserving offering for a distributed multi-party collaboration. NVIDIA FLARE is built on a componentized architecture that allows you to take federated learning... -
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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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CBMPy
PySCeS Constraint Based Modelling
PySCeS CBMPy is a new platform for constraint based modelling and analysis. It has been designed using principles developed in the PySCeS simulation software project: usability, flexibility and accessibility. CBMPy supports the latest standards for encoding CBM models encoding, SBML L3 FBC, COBRA as well as MIRIAM compliant RDF and custom annotations. Its architecture is both extensible and flexible using data structures that are intuitive to the biologist while transparently... -
Red Hat Ansible Automation Platform on Microsoft AzureDeploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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Canorus
Music score editor
Canorus is a free cross-platform music score editor. It supports an unlimited number and length of staffs, polyphony, a MIDI playback of notes, chord markings, lyrics, import/export filters to formats like MIDI, MusicXML, ABC Music, MusiXTeX and LilyPond -
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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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Tab2MAGE uses a flexible spreadsheet format for MIAME annotation of microarray experiments. Tab2MAGE spreadsheets may be submitted directly to ArrayExpress, or used to generate MAGE-ML for data exchange.
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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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IsaPlanner is a collection of reasoning tools: a proof planner for Isabelle, implementing a Rippling based inductive theorem prover; theory synthesis tools for Isabelle; an open-graph based tool for reasoning about quantum information (quantomatic);
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IsaScheme is a collection of mathematical theory exploration tools for Isabelle, implementing the scheme-based mathematical theory exploration approach for theory formation.
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Structio produces tools and contents with sources of public domain useful for colombian schools and appropriate to be distributed in Internet (e.g sotware, writings, images, sounds and music).
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DRINKS Toolkit
DRINKS is a set of smart web-based widgets.
DRINKS Toolkit is a collection of web-based widget, focused in the first release, to realize an online strumentation. It provides a practical and immediate interface to represent your data in the best possible way. Every widget is drawed using HTML5 Canvas API in a Javascript based environment. Drinks was born to allow users to easily realize custom dashboards without any programming knowledge, infact, you can use your instrument on a webpage simply using HTML tags, or using BarMan... -
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XPSEDAPI is a cross-platform (programming language agnostic) definition of an application programming interface for working with and manipulating SED-ML documents. Interfaces are defined in Interface Definition Language (IDL) with full documentation.
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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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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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ZML, the Zeitung Markup Language, is a simple CMS for small newspapers. It was specifically designed to publish a student newspaper in print and on the Web. It uses LaTeX and XHTML. So far, it is documented in German only.
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ML-Edit is a HTML-Editor to manage translations to different languages while using the same HTML code.
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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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From anywhere within Smarty templates, shuffle off CSS, scripts, XSL, even notes, into the head, body, or other parts of a document; into external files; or into a main site-wide file (e.g., for styles and scripts). Uses other markup to simplify X/HT/ML.
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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).