Search Results for "model-builder" - Page 32
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Showing 1820 open source projects for "model-builder"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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go-study-index
Go language learning materials index
go-study-index is a comprehensive, community-maintained index of Go learning resources and communities, primarily oriented toward Chinese-speaking developers. It was created because a previous index of resources had gone out of date for over three years, and the author wanted a fresher, living catalog that others could update via fork and pull request. The README is structured into sections for communities, navigation sites, learning materials, tools, cloud platforms, newsletters, videos,... -
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SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
...This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple computational steps, while maintaining speaker consistency across output channels. Separate models are trained for different speaker counts, and the largest-capacity model dynamically determines the actual number of speakers in a mixture. ... -
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Wheefun Presentation Layer
A framework for implementing a presentation layer.
WFPL is a framework for implementing web pages using the model-view-controller (MVC) design pattern. In WFPL, documents are represented abstractly using a hierarchical "Page" structure, which are then rendered using a renderer which may represent media such as HTML, TeX, or Markdown. The controller is frequently implemented as a callback script in the case of a webpage. WPFL's strengths lie in its hierarchical design; it is similar to HTML/XML's document object model and provides a number of basic nodes. ... -
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react-pxq
Implement modern front-end architecture with idiomatic React patterns
react-pxq is a React-based single-page application that demonstrates how to implement modern front-end architecture with idiomatic React patterns. It shows how to break a product into cohesive components, manage global and local state, and coordinate data-fetching with UI updates. Routing is used to separate feature areas, while shared UI primitives keep styling and behavior consistent across screens. The code emphasizes ES6+ conventions, async flows, and clean separation of concerns to keep... -
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CanJS
Build CRUD apps in fewer lines of code
...The model layer is responsible for making GET, POST, PUT, and DELETE requests to your backend. With your component UI code using the model’s standard interface to make requests, if the backend API changes, you only have to configure the model and not change every component that uses that backend API. -
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Flux
Application architecture for building user interfaces
...It's more of a pattern rather than a formal framework, and you can start using Flux immediately without a lot of new code. Flux applications have three major parts: the dispatcher, the stores, and the views (React components). These should not be confused with Model-View-Controller. Controllers do exist in a Flux application, but they are controller-views — views often found at the top of the hierarchy that retrieve data from the stores and pass this data down to their children. Additionally, action creators — dispatcher helper methods — are used to support a semantic API that describes all changes that are possible in the application. ... -
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Luvit
Lua + libUV + jIT = pure awesomesauce
Luvit implements the same APIs as Node.js, but in Lua. This helps teams migrate without having to learn a new way of programming. Choose your async model; we don’t mind; we encourage experimentation. If you don’t like callbacks and event emitters, use coroutines and write blocking-style code without actually blocking your event loop. The various projects in the luvit ecosystem can be mixed and matched to build the ideal runtime for your application. The luvit CLI tool can be used as a scripting platform just like node. ... -
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Automatic Drawing Generation
A canvas library for generating technical drawings
The ADG library (Automatic Drawing Generation) is a set of functions focused on automating the drawing of mechanical parts. It is not a CAD system but a GObject-based library where a custom application can put common CAD entities such as paths, hatches and dimensions, to automatically create technical drawings. A demo application is provided in order to show the capabilities of the canvas. Although it is possible to interact with the library directly in C (that is what the adg-demo... -
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django-summernote
Simply integrate Summernote editor with Django project
Summernote is a simple WYSIWYG editor. Django-summernote allows you to embed Summernote into Django very handy. Support admin mixins and widgets. Although Post model has several TextField, only the content field will have SummernoteWidget. Apply summernote to all TextField in the model. Please mind, that the widget does not provide any escaping. If you expose the widget to external users without taking care of this, it could potentially lead to an injection vulnerability. Therefore you can use the SummernoteTextFormField or SummernoteTextField, which escape all harmful tags through mozilla's package bleach. django-summernote is served with Bootstrap3 by default, but you can choose other options. -
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Metl ETL Data Integration
Simple message-based, web-based ETL integration
Metl is a simple, web-based ETL tool that allows for data integrations including database, files, messaging, and web services. Supports RDBMS, SOAP, HTTP, FTP, SFTP, XML, FIXLEN, CSV, JSON, ZIP, and more. Metl implements scheduled integration tasks without the need for custom coding or heavy infrastructure. It can be deployed in the cloud or in an internal data center, and it was built to allow developers to extend it with custom components. -
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TorchGAN
Research Framework for easy and efficient training of GANs
...This package provides an easy-to-use API which can be used to train popular GANs as well as develop newer variants. The core idea behind this project is to facilitate easy and rapid generative adversarial model research. TorchGAN is a Pytorch-based framework for designing and developing Generative Adversarial Networks. This framework has been designed to provide building blocks for popular GANs and also to allow customization for cutting-edge research. Using TorchGAN's modular structure allows. -
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YOLOR
implementation of paper - You Only Learn One Representation
...It builds on the YOLO family and related PyTorch detection work, combining practical detector training with a research idea about unified representations. YOLOR includes model configurations, training code, evaluation scripts, inference tools, and pretrained weights. Its central contribution is the use of implicit knowledge to improve network performance without treating every task as fully separate. It is useful for computer vision researchers and developers studying YOLO-style detectors, representation learning, and high-performance detection systems. -
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TensorNetwork
A library for easy and efficient manipulation of tensor networks
TensorNetwork is a high-level library for building and contracting tensor networks—graphical factorizations of large tensors that underpin many algorithms in physics and machine learning. It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage experimentation and comparison. The library provides automatic path finding and cost estimation, exposing when contractions will explode in memory and suggesting better orders. Because it supports backends such as NumPy, TensorFlow, PyTorch, and JAX, the same model can run on CPUs, GPUs, or TPUs with minimal code changes. ... -
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JDynamiTe, Dynamic Template in Java
Dynamically generate documents from templates
...JDynamiTe does not include a specific template language, and it is not a complete framework. It is a simple "brick" in your software architecture, a "glue" between your data model and your presentation model. JDynamiTe is a Java package, which is designed to be flexible and open. For more details and a lot of examples, visit the homepage here: http://jdynamite.sourceforge.net -
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Modern C++ Template
A template for modern C++ projects using CMake, Clang-Format
...Modern CMake configuration and project, which, to the best of my knowledge, uses the best practices. An example of a Clang-Format config, inspired from the base Google model, with minor tweaks. This is aimed only as a starting point, as coding style is a subjective matter, everyone is free to either delete it (for the LLVM default) or supply their own alternative. Static analyzers integration, with Clang-Tidy and Cppcheck, the former being the default option. Doxygen support, through the ENABLE_DOXYGEN option, which you can enable if you wish to use it. ... -
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Glowstone
Customizable and compatible open source server for Minecraft
...The main goals of the project are to provide a lightweight implementation of the Bukkit API and Minecraft server where exact vanilla functionality is not needed or higher performance is desired than the official software can deliver. Glowstone makes use of a thread-per-world model and performs synchronization only when necessitated by the Bukkit API. -
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Open Application Model
Open Application Model (OAM)
Open Application Model (OAM) is a set of standard yet higher-level abstractions for modeling cloud-native applications on top of today's hybrid and multi-cloud environments. Focused on application rather than container or orchestrator, Open Application Model brings modular, extensible, and portable design for defining application deployment with higher level API. -
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ReinventCommunity
Jupyter Notebook tutorials for REINVENT 3.2
This repository is a collection of useful jupyter notebooks, code snippets and example JSON files illustrating the use of Reinvent 3.2. -
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Ribbon
Ribbon is an inter process communication library
Ribbon is a Inter Process Communication (remote procedure calls) library with built in software load balancers. The primary usage model involves REST calls with various serialization scheme support. Ribbon comprises of multiple components some of which are used in production internally and some of which were replaced by non-OSS solutions over time. This is because Netflix started moving into a more componentized architecture for RPC with a focus on single-responsibility modules. ... -
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Differentiable Neural Computer
A TensorFlow implementation of the Differentiable Neural Computer
...Published in Nature in 2016 under the paper “Hybrid computing using a neural network with dynamic external memory,” the DNC combines the pattern recognition power of neural networks with a memory module that can be written to and read from in a differentiable way. This allows the model to learn how to store and retrieve information across long time horizons, much like a traditional computer. The architecture consists of modular components including an access module for managing memory operations, a controller (often an LSTM or feedforward network) for issuing read/write commands, and submodules for temporal linkage and memory allocation tracking. -
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MarvelHeroes
A sample Marvel heroes application based on MVVM
MarvelHeroes is a demo application based on modern Android application tech-stacks and MVVM architecture. Fetching data from the network and integrating persisted data in the database via repository pattern. -
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Machine Learning Cheat Sheet
Classical equations and diagrams in machine learning
This repository is a visually rich and well-organized “cheat sheet” summarizing core machine learning concepts, algorithms, formulas, and best practices. It includes summaries of supervised and unsupervised learning methods, model evaluation metrics (accuracy, precision, recall, ROC/AUC), overfitting/underfitting, regularization (L1/L2), cross-validation, feature engineering techniques, and perhaps tips for hyperparameter tuning. Each section is presented concisely, often with diagrams, formula snippets, and short explanatory notes to serve as quick reference for students, practitioners, or interview prep. ... -
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PureLayout
The ultimate API for iOS & OS X Auto Layout
...PureLayout provides a fully capable and developer-friendly interface for Auto Layout. It is designed for clarity and simplicity, and takes inspiration from the AutoLayout UI options available in Interface Builder while delivering far more flexibility. The API is also highly efficient, as it adds only a thin layer of third party code and is engineered for maximum performance. -
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Microsoft Bot Framework SDK
Tool for building conversation applications
...Checkout the Bot Framework ecosystem section to learn more about other tooling and services related to the Bot Framework SDK. The Bot Framework SDK v4 is an open source SDK that enable developers to model and build sophisticated conversation using their favorite programming language. -
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Mantle
Model framework for Cocoa and Cocoa Touch
...Nonetheless, if you're using or want to use Core Data in your app already, Mantle can still be a convenient translation layer between the API and your managed model objects. In order to serialize your model objects from or into JSON, you need to implement <MTLJSONSerializing> in your MTLModel subclass. Mantle doesn't automatically persist your objects for you. However, MTLModel does conform to <NSCoding>, so model objects can be archived to disk using NSKeyedArchiver.
