Search Results for "model-builder" - Page 35
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Showing 2014 open source projects for "model-builder"
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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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Flask-MongoEngine
MongoEngine flask extension with WTF model forms support
Flask-MongoEngine is a Flask extension that provides integration with MongoEngine, WtfForms and FlaskDebugToolbar. By default, Flask-MongoEngine will install integration only between Flask and MongoEngine. Integration with WTFForms and FlaskDebugToolbar are optional and should be selected as extra option, if required. This is done by users request, to limit amount of external dependencies in different production setup environments. All methods end extras described below are compatible... -
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CSSBox
Pure Java HTML / CSS rendering engine
CSSBox is an (X)HTML/CSS rendering engine written in pure Java. Its primary purpose is to provide a complete information about the rendered page suitable for further processing. However, it also allows displaying the rendered document. -
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QtExtensions
Graphical and non graphical extensions to the Qt framework.
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Pagedraw
A UI builder for React web apps
Pagedraw is a Sketch/Figma-style UI builder that generates production-ready React JSX. Users visually design interfaces via drag‑and‑drop components and get exportable React components. Though production support ended and it’s deprecated, the open-source release preserves its innovative design‑to‑code approach. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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XML Editor/Validator/Designer with CAMV
CAM XML Editor for XML+JSON+Hibernate+SQL Open-XDX sponsored by Oracle
...Canonical component dictionaries from schema sets, SQL, JSON, ERwin XSD, or spreadsheets. The XML CAM templates (OASIS standard) store the exchange structure, content model, code lists, DBMappings, SQL lookups+business rules (XPath). Java CAMV XML/JSON validation engine is a complete exchange test framework [XMLUnit, TEAM(Schematron)]. Java/Eclipse +Saxon/XSL -
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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models... -
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Jodd
Jodd! Lightweight, Java, zero dependencies, use what you like
Jodd is a set of micro-frameworks and developer-friendly tools and utilities. Code-things-done. Great performances. Tiny dependencies. Use what you like. Welcome to the Jodd, a unique, alternative world of Java. You can find here some micro-frameworks and some handy tools. Nothing more, nothing less. The decision which component is promoted is based on the Maven Central Repo statistics. Version v5 contains remaining libraries and frameworks. They are in maintenance mode. -
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tiOPF
Best Object Persistence Framework ever!
The tiOPF is an Object Persistence Framework (OPF) for Delphi and Free Pascal that simplifies the mapping of an object oriented business model into a relational database. Persistence layers are available for Firebird, XML, Oracle, SQLServer and many more -
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Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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The Whole Platform is a technology for engineering the production of software. We provide an Eclipse based Language Workbench for developing, manipulating and transforming languages using a model driven approach.
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...It offers a comprehensive suite of tools that enable programmers to produce correct, reliable, and maintainable software while keeping control of the development process. If you want to create fast, robust, scalable applications, then EiffelStudio™ will offer you a cost-effective solution. Imagine being able to model your system as you think – capturing your requirements and your thought processes with EiffelStudio. When ready to design, you build upon the model you just created, still with EiffelStudio. Then you implement with EiffelStudio. You never need to throw anything out and start over. You don’t need extra tools to go back and safely make changes in your architecture. ...
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progrep
Utility to show live progress, status & stats for running simulations
...progrep supports both single-threaded and parallel (multicore/multinode - e.g. OpenMP/MPI) jobs. progrep can also report for jobs running on remote hosts, e.g. jobs running on Linux Clusters. progrep works in client-server model. The server can be installed in your simulation source code with only 4 extra lines (API). When the progrep command is invoked, it queries this server as a client. progrep does not interfere with or slow down your simulation when not invoked. Even when invoked, the overhead is insignificant. Out of the box, the API works with Fortran/C/C++ code. ... -
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SentEval
A python tool for evaluating the quality of sentence embeddings
...Datasets are wrapped with unified preprocessing and metrics so results are comparable across papers and implementations. Because the interface is minimal, researchers can plug in encoders from any framework or language model and obtain a broad evaluation with little glue code. SentEval helped establish common baselines and reporting conventions in the sentence-representation community, reducing friction when comparing new methods. -
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Sparse Attention
"Generating Long Sequences with Sparse Transformers" examples
Sparse Attention is OpenAI’s code release for the Sparse Transformer model, introduced in the paper Generating Long Sequences with Sparse Transformers. It explores how modifying the self-attention mechanism with sparse patterns can reduce the quadratic scaling of standard transformers, making it possible to model much longer sequences efficiently. The repository provides implementations of sparse attention layers, training code, and evaluation scripts for benchmark datasets. ... -
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brModelo 3.2
ER Databese Model
Tool used to Database ER model Ferramenta para modelagem ER em bancos de dados. -
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Supervised Reptile
Code for the paper "On First-Order Meta-Learning Algorithms"
The supervised-reptile repository contains code associated with the paper “On First-Order Meta-Learning Algorithms”, which introduces Reptile, a meta-learning algorithm for learning model parameter initializations that adapt quickly to new tasks. The implementation here is aimed at supervised few-shot learning settings (e.g. Omniglot, Mini-ImageNet), not reinforcement learning, and includes scripts to run training and evaluation for few-shot classification. The fundamental idea is: sample a task, train on that task (inner loop), and then move the initialization parameters toward the adapted parameters (outer loop). ... -
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Speedment
Speedment is a Stream ORM Java Toolkit and Runtime
Speedment is an open-source Java Stream ORM toolkit and runtime. The toolkit analyzes the metadata of an existing SQL database and automatically creates a Java representation of the data model. This powerful ORM enables you to create scalable and efficient Java applications using standard Java streams with no need to type SQL or use any new API. Speedment was originally developed by researchers and engineers based in Palo Alto with the purpose to simplify and streamline the development of Java database applications by leveraging the Java Stream API. ... -
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Flutter WhatsAppClone
Building a WhatsApp Clone in Flutter
...The clone typically includes chat list screens, individual message threads, user profiles, and navigation patterns familiar to WhatsApp users, helping learners see how such UIs are implemented with Flutter’s widget hierarchy. Although it may not have full backend messaging functionality out of the box, the code often illustrates how to model chat data, handle user input, and structure responsive layouts that adapt to different screen sizes. Many clones in the Flutter ecosystem also demonstrate integration points for Firebase or other backend services to add real-time messaging, authentication, and media sharing. -
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Consistent Depth
We estimate dense, flicker-free, geometrically consistent depth
...The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. This approach achieves improved geometric consistency and visual stability compared to prior monocular reconstruction methods. The project can process challenging hand-held video footage, including those with moderate dynamic motion, making it practical for real-world usage. -
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Muze
Composable data visualisation library for web
...The library emphasizes composability, meaning multiple layers and interactions can be combined to produce complex, multi-dimensional visualizations similar to those found in advanced analytics tools like Tableau. It includes an in-browser data model that manages transformations, filtering, and interactions, serving as a central source of truth for all visual elements. Muze also automatically generates cross-chart interactions, allowing multiple visualizations to respond to user input in a coordinated way. By leveraging WebAssembly for data processing, it achieves high performance even with large datasets. -
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HyperGAN
Composable GAN framework with api and user interface
A composable GAN built for developers, researchers, and artists. HyperGAN builds generative adversarial networks in PyTorch and makes them easy to train and share. HyperGAN is currently in pre-release and open beta. Everyone will have different goals when using hypergan. HyperGAN is currently beta. We are still searching for a default cross-data-set configuration. Each of the examples supports search. Automated search can help find good configurations. If you are unsure, you can start with... -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than... -
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LaraCSV
CSV files from Eloquent model in seconds - a Laravel package
A Laravel package to easily generate CSV files from the Eloquent model. CSV files from Eloquent model in seconds, a Laravel package. A proper CSV file will be downloaded with email and name fields. As simple as it sounds. -
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Higher
higher is a pytorch library
...It allows developers and researchers to compute gradients through entire optimization processes, which is essential for tasks like meta-learning, hyperparameter optimization, and model adaptation. The library introduces utilities that convert standard torch.nn.Module instances into “stateless” functional forms, so parameter updates can be treated as differentiable operations. It also provides differentiable implementations of common optimizers like SGD and Adam, making it possible to backpropagate through an arbitrary number of inner-loop optimization steps. ... -
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flatend
Quickly build microservices using p2p networking in NodeJS/Go
Flatend is a fast, lightweight edge server and microservice runtime built in Go, designed for simplicity and high concurrency. It uses a decentralized service discovery model that allows nodes to communicate over UDP or QUIC with minimal setup, making it ideal for low-latency APIs and distributed systems. Flatend provides a clean developer experience and is optimized for environments where traditional service meshes or orchestration platforms are too heavy. It supports dynamic peer discovery, routing, and load balancing out of the box.
