Search Results for "model-builder" - Page 38
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Showing 2118 open source projects for "model-builder"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Handy Application Maker
Software builder for both veteran programmer and novice.
Software builder for both veteran programmer and novice. -
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html5-canvas-2d-grid-layout
A simple grid model system for drawing shapes in an HTML canvas
This project allows the user to define a grid configuration model for a canvas within an HTML document. The grid configuration allows the user to specify height and width of grid "units". Once the grid configuration is defined, the user can create an draw certain shapes and lines, specifying locations in "units" of where objects should be placed in the canvas. Shapes and lines support configuration themselves for color, stroke width, etc. -
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MLBox
MLBox is a powerful Automated Machine Learning python library
...Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation. MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone. -
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React Sortable HOC
Turn any list into an animated, accessible and sortable list
...It provides a set of utilities that allow developers to create sortable interfaces with smooth animations and minimal effort. The library is built on top of React’s component model, making it easy to integrate into existing applications. It supports features such as keyboard accessibility, customizable drag handles, and dynamic list updates. The system is designed to handle both simple and complex sorting scenarios, including nested lists and grid layouts. It also includes performance optimizations to ensure smooth interactions even with large datasets. ... -
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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MMF
A modular framework for vision & language multimodal research
...MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI Research. MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. MMF is built on top of PyTorch that brings all of its power in your hands. MMF is not strongly opinionated. So you can use all of your PyTorch knowledge here. MMF is created to be easily extensible and composable. ... -
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X-DeepLearning
An industrial deep learning framework for high-dimension sparse data
...Storage and communication optimization, parameters are automatically allocated globally without manual intervention, and requests are merged to completely eliminate computing/storage/communication hotspots of ps. Complete streaming training features including feature admission, feature elimination, model incremental export, feature counting statistics, etc. Background: XDL1.0 focuses on throughput optimization and adopts the one request per thread processing model, which can significantly improve the limit throughput under ultra-high concurrency. -
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CvsChangelogBuilder is an utility to generate advanced, differential and/or graphical changelogs, for a project hosted on a CVS server (CVS change log). It provides a better output than the 'cvs log' command, and accept a lot of options.
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Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.
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RobotsDisallowed
A curated list of the most common and most interesting robots.txt
RobotsDisallowed is a public catalog that tracks websites and organizations explicitly blocking AI and web-scraping crawlers in their robots.txt or related mechanisms. It focuses on documenting the growing trend of content owners asserting control over how their data is used for model training and automated harvesting. The project aggregates domains, notes the targeted bots or user agents, and surfaces patterns for researchers, policymakers, and tool builders. It serves both as a transparency effort and as a resource for people designing allow/deny strategies for automated access. The dataset invites community contributions to keep the picture current as new bots emerge and policies shift. ... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Dep
Go dependency management tool experiment
...Note that dep requires a functioning Go workspace and GOPATH. Dep is centered around the idea of the "four state system" - a model for classifying and organizing the on-disk state with which a package manager interacts. This was first articulated as a coherent, general model in this (long) article, though many of the principles in the four state model were derived from existing package managers. -
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Coach
Enables easy experimentation with state of the art algorithms
Coach is a python framework that models the interaction between an agent and an environment in a modular way. With Coach, it is possible to model an agent by combining various building blocks, and training the agent on multiple environments. The available environments allow testing the agent in different fields such as robotics, autonomous driving, games and more. It exposes a set of easy-to-use APIs for experimenting with new RL algorithms and allows simple integration of new environments to solve. ... -
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Elasticquent
Maps Laravel Eloquent models to Elasticsearch types
...Elasticquent makes working with Elasticsearch and Eloquent models easier by mapping them to Elasticsearch types. You can use the default settings or define how Elasticsearch should index and search your Eloquent models right in the model. Elasticquent uses the official Elasticsearch PHP API. To get started, you should have a basic knowledge of how Elasticsearch works (indexes, types, mappings, etc). When using a database, Eloquent models are populated from data read from a database table. With Elasticquent, models are populated by data indexed in Elasticsearch. The whole idea behind using Elasticsearch for search is that its fast and light, so you model functionality will be dictated by what data has been indexed for your document. -
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pytorch-examples
Simple examples to introduce PyTorch
...The examples cover a range of topics including supervised learning, generative models, and reinforcement learning, making it a valuable resource for both beginners and experienced practitioners. By emphasizing readable code, the repository helps users understand how PyTorch’s imperative programming style enables flexible model development. It also serves as a quick reference for common patterns and techniques used in deep learning workflows. The project aligns with PyTorch’s philosophy of combining usability with performance and flexibility. Overall, pytorch-examples is an essential learning resource for anyone working with PyTorch. -
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NoderCMS
Node.js + MongoDB
Super concurrency and super high data reading speed, coupled with flexible custom models, easy-to-use templates, advanced background management system and multi-user permissions, have created a perfect NoderCMS. The inherent asynchronous non-blocking programming brought by Node.js makes NoderCMS calmly face up to millions of concurrent visits. Thanks to the non-relational database MongoDB, everything is stored in BSON format, faster and faster. Through the combination of models and custom... -
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TGAN
Generative adversarial training for generating synthetic tabular data
We are happy to announce that our new model for synthetic data called CTGAN is open-sourced. The new model is simpler and gives better performance on many datasets. TGAN is a tabular data synthesizer. It can generate fully synthetic data from real data. Currently, TGAN can generate numerical columns and categorical columns. TGAN has been developed and runs on Python 3.5, 3.6 and 3.7. -
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git-flow (AVH Edition)
AVH Edition of the git extensions to provide high-level repository ops
A collection of Git extensions to provide high-level repository operations for Vincent Driessen's branching model. This fork adds functionality not added to the original branch. For those who use the Bash or ZSH shell, you can use my fork of git-flow-completion which includes several additions for git-flow (AVH Edition), or you can use the original git-flow-completion project by bobthecow. Both offer tab-completion for git-flow subcommands and branch names with my fork including tab-completion for the commands not found in the original git-flow. ... -
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CLIck
a CLI generator and and SW library
CLIck allows you to create flat or hierarchical CLI (command line interfaces) in an extremely easy and quick way, supporting very popular features like history with command recalling, context-based auto-completion, tab-based command list, automatic command-line help, special characters, automatic structure builder, and much more. CLIck is written in ANSI C and tested on C and C++ applications on several architectures. It doesn't depend on any external library and uses only a very small subset of POSIX APIs. Despite the project name, you won't need your mouse at all! -
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Active Learning
Framework and examples for active learning with machine learning model
...The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. The main experiment runner (run_experiment.py) supports a wide range of configurations, including batch sizes, dataset subsets, model selection, and data preprocessing options. It includes several established active learning strategies such as uncertainty sampling, k-center greedy selection, and bandit-based methods, while also allowing for custom algorithm implementations. The framework integrates with both classical machine learning models (SVM, logistic regression) and neural networks. -
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TenorSpace.js
Neural network 3D visualization framework
...TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. From TensorSpace, it is intuitive to learn what the model structure is, how the model is trained and how the model predicts the results based on the intermediate information. After preprocessing the model, TensorSpace supports the visualization of pre-trained models from TensorFlow, Keras and TensorFlow.js. TensorSpace is a neural network 3D visualization framework designed for not only showing the basic model structure but also presenting the processes of internal feature abstractions, intermediate data manipulations and final inference generations. ... -
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Phaser 3 Plugin Path Builder
Draw and edit Lines, Bezier Curves, Splines at runtime
Phaser 3 Plugin Path Builder is a tool that allows developers to create and edit paths for path followers and tweens within Phaser 3 games. It supports various path types and enables runtime editing and exporting of paths. -
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...Some of the popular tool plug ins include ElasticSearch, Apache FOP, Apache Camel, OrientDB, and Hazelcast. The business artifacts later includes a universal data model (mantle-udm), service library (mantle-usl), reusable screens (SimpleScreens), and integration components for EDI, Authorize.NET, and Shippo. There are 2 main applications in the ecosystem: POP Commerce ERP and eCommerce for retail and wholesale, and HiveMind Project Management and ERP for service organizations. NOTE: the code repositories for Moqui Ecosystem are hosted on GitHub at: https://github.com/moqui
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requery
Modern SQL based query & persistence for Java / Kotlin / Android
...Easily map to or create databases, and perform queries and updates from any platform that uses Java. requery uses compile-time annotation processing to generate entity model classes and mapping attributes. On Android, this means you get about the same performance reading objects from a query as if it was populated using the standard Cursor and ContentValues API. The compiled classes work with the query API to take advantage of compile-time generated attributes. Create type-safe queries and avoid hard-to-maintain, error-prone string concatenated queries. -
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MvvmTools
A library that provide the following cross platform features
A library that provides the following cross-platform features: -Direct bind of the events (in your views) to the methods or commands (in your view models) in your XAML code -Creating a preview of your view model at design time -Easy way of creating commands in your view models. MvvmTools is a collection of utilities for accelerating MVVM development in .NET applications, providing ready-to-use components. -
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Gio.js
A declarative 3D globe data visualization library built with Three.js
Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. Gio.js is an open source library for web 3D globe data visualization built with Three.js. What makes Gio.js different is that it is simple to use Gio.js to customize a 3D data visualization model in a declarative way, add your own data, and integrate it into your own modern web application. ... -
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DESMO-J is a framework for rapidly building discrete event driven simulation models in Java, which is not restrained to any particular domain of application. It supports both event-oriented and process-oriented modelling views. See http://desmoj.de.
