Search Results for "data masking"
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Showing 34 open source projects for "data masking"
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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Cline
Autonomous coding agent right in your IDE
Cline is a command-line application building library for Node.js that helps developers easily create interactive CLI applications. Built on Node's readline module, it offers features like history support, auto-completion, and input masking. Cline allows you to define custom commands with argument placeholders, making it versatile for various command structures. Additionally, it supports modes, where different command sets can be dynamically loaded depending on the application's state. -
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pgsync
Postgres to Elasticsearch/OpenSearch sync
pgsync is a lightweight tool for syncing Postgres databases across environments, such as from production to staging. It allows selective table syncing, data masking, and parallel copying for fast and safe data migration. pgsync is ideal for developers who need realistic test data without exposing sensitive information. -
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vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
... is designed to scale: spatiotemporal ViT backbones, flexible masking schedules, and efficient sampling let it train on long clips while remaining stable. Trained representations transfer well to downstream tasks such as action recognition, temporal localization, and video retrieval, often with simple linear probes or light fine-tuning. The repository typically includes end-to-end recipes—data pipelines, augmentation policies, training scripts, and evaluation harnesses. -
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JEPA
PyTorch code and models for V-JEPA self-supervised learning from video
... with simple linear probes and minimal fine-tuning. The repository provides training recipes, data pipelines, and evaluation utilities for image JEPA variants and often includes ablations that illuminate which masking and architectural choices matter. Because the objective is non-autoregressive and operates in embedding space, JEPA tends to be compute-efficient and stable at scale. The approach has become a strong alternative to contrastive or pixel-reconstruction methods for representation learning. -
Monitoring, Securing, Optimizing 3rd party scriptsc/side is crawling many sites to get ahead of new attacks. c/side is the only fully autonomous detection tool for assessing 3rd party scripts. We do not rely purely on threat feed intel or easy to circumvent detections. We also use historical context and AI to review the payload and behavior of scripts.
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Unified Communication X
Communication framework for data-centric high-performance applications
Accelerate Your Network Performance with UCX. Collaboration between industry, laboratories, and academia to create an open-source, production-grade communication framework for data-centric and high-performance applications. Unified Communication X (UCX) is an award winning, optimized production proven communication framework for modern, high-bandwidth and low-latency networks. UCX exposes a set of abstract communication primitives which utilize the best of available hardware resources... -
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Bytebase
The GitHub/GitLab for database DevSecOps
The GitHub/GitLab for database DevSecOps. World's most advanced database DevSecOps solution for Developer, Security, DBA and Platform Engineering teams. -
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Greenmask
PostgreSQL database anonymization and synthetic data generation tool
Greenmask is a powerful open-source utility that is designed for logical database backup dumping, obfuscation, and restoration. It offers extensive functionality for backup, anonymization, and data masking. Greenmask is written in pure Go and includes ported PostgreSQL libraries that allows for platform independence. This tool is stateless and does not require any changes to your database schema. It is designed to be highly customizable and backward-compatible with existing PostgreSQL utilities... -
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Runeset
Fast UTF-8 codepoint sets for Zig
This library offers a compact data structure for "generalized"1 UTF-8 encoded codepoints. The design is based on an implicit data structure2, which uses @popCount and bit masking to check membership quickly, with minimal branching, and without having to decode the UTF-8 into another format (for instance, a codepoint). This design is original, in the sense that I invented it. There may be prior art, it's remarkably difficult to search for "UTF-8 character sets" and find papers on set data... -
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Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
.... The engine stores a single, full-size copy of production data on the specialized ZFS filesystem. Using the copy-on-write capabilities of ZFS, the DLE is able to generate full-size replicas of the production database in seconds. These writable "thin clones" will behave identically to production: they will have the same data and generate the same query plans. Instances of the Database Lab Engine (DLE) and all thin clones reside completely within your own infrastructure at all times. -
Dominate AI Search ResultsAthenaHQ is a cutting-edge platform for Generative Engine Optimization (GEO), designed to help brands optimize their visibility and performance across AI-driven search platforms like ChatGPT, Google AI, and more.
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iJEPA
Official codebase for I-JEPA
... strongly with linear probes and minimal fine-tuning. The design scales naturally with Vision Transformer backbones and flexible masking strategies, and it trains stably at large batch sizes. i-JEPA’s predictions are made in embedding space, which is computationally efficient and better aligned with downstream discrimination tasks. The repository provides training recipes, data pipelines, and evaluation code that clarify which masking patterns and architectural choices matter most. -
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Input mask for iOS
User input masking library repo
Input masks restrict data input and allow you to guide users to enter correct values. Interface Builder struggles to support modules imported in a form of a dynamic framework. For instance, custom views annotated as IBDesignable, containing IBInspectable and IBOutlet fields aren't recognized properly from the drag'n'dropped framework. When you cut text, characters get deleted yet you won't be able to paste them somewhere as they aren't actually in your pasteboard. Shortly after new text... -
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Input mask for Android
User input masking library repo
Input masks restrict data input and allow you to guide users to enter correct values. Apply formatting to your text fields, see examples. Filter out nonessential symbols (e.g. extract 0123456 from +1 (999) 012-34-56) For international phone numbers. Apply number/currency formatting. Be careful when specifying the field's android:inputType. The library uses the native Editable variable received on afterTextChange event in order to replace text efficiently. Because of that, field's inputType... -
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The auditory modeling toolbox (AMT) is a Matlab/Octave toolbox for the development and application of auditory computational models. Over 50 auditory models implemented in Matlab, Octave, C, C++, and Python can be run from Matlab and Octave, on Windows and Linux. The AMT provides a well-structured in-code documentation, includes auditory data required to run the models. It integrates functionality to reproduce the model predictions. Model implementations can be evaluated in two stages...
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drawx
Fastest crossplot in the west. Data masking capabilities & animations
.... drawx keeps track of row and column information that is used later for generating cross-plots or attribute coloring. If a particular data point is masked (described later) then that entire row of data is removed from subsequent displays of the data. Data are read into drawx and displayed in a window in which the user can manipulate to change the way the data are plotted, to zoom in on areas of interest, and masking of un-wanted data. -
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SMILI
Scientific Visualisation Made Easy
The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical... -
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Image16
Image viewer/editor specialized in astrophotography 16bits processing
... (bilateral, threshold and chroma/luma). Unsharp Masking, Laplacian. Masked Undo. Curve Undo, LCE. CLAHE. SCNR. Wavelets decomposing and denoising. Lucy-Richardson and Wiener deconvolution. FFT contrasting/denoising. Uses Astrometry.net to platesolve images. Includes Bright Star Catalogue up to mag. 5 and Tycho 2 Catalogue up to mag. 12 allowing for Star B-V color data for color balancing plate solved images. Interfaces with ASCOM, G'MIC and Starnet++. Macros. EAA. Win>=7 and Linux+Wine>=7. -
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Jraph
A Graph Neural Network Library in Jax
... compilation. The library includes a comprehensive set of utilities for batching, padding, masking, and partitioning graph data, making it ideal for distributed and large-scale GNN experiments. Jraph also comes with a model zoo—a collection of forkable reference implementations of common message-passing GNN architectures, such as Graph Networks, Graph Convolutional Networks, and Graph Attention Networks. -
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MAE (Masked Autoencoders)
PyTorch implementation of MAE
MAE (Masked Autoencoders) is a self-supervised learning framework for visual representation learning using masked image modeling. It trains a Vision Transformer (ViT) by randomly masking a high percentage of image patches (typically 75%) and reconstructing the missing content from the remaining visible patches. This forces the model to learn semantic structure and global context without supervision. The encoder processes only the visible patches, while a lightweight decoder reconstructs... -
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RadServer
Node.js https+sockets compatible server with a few goodies, including
... with a single userid. Interfacing with the sockets is easy. From the frontend: socketRegister( event, callback ) // Register a socket event openSocket( url, callback ) // Connect the socket sendSocket( obj ) // Send an object to the server And from the backend, we support automation as well as direct communication. Automation in the database means that it will automatically check permissions and respond with the right data objects, properly mapping and/or masking the data -
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Open Source Data Quality and Profiling
World's first open source data quality & data preparation project
This project is dedicated to open source data quality and data preparation solutions. Data Quality includes profiling, filtering, governance, similarity check, data enrichment alteration, real time alerting, basket analysis, bubble chart Warehouse validation, single customer view etc. defined by Strategy. This tool is developing high performance integrated data management platform which will seamlessly do Data Integration, Data Profiling, Data Quality, Data Preparation, Dummy Data Creation... -
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Polarity Browser
A fast, secure, stable web browser powered by Chromium and Trident.
Polarity is a dual engine browser powered by both Chromium and Trident that focuses on system efficiency by bringing low RAM and low CPU usage. This browser was also programmed to be optimized for Windows with an Android version available. Browse the web with an uncomplicated UI that is highly customizable with themes, apps, and extensions from the Polarity Store, GreasyFork, OpenUserJS, and UserStyles. Polarity also comes with a built in password manager which safely encrypts all data... -
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COCO Annotator
Web-based image segmentation tool for object detection & localization
COCO Annotator is a web-based image annotation tool designed for versatility and efficiently label images to create training data for image localization and object detection. It provides many distinct features including the ability to label an image segment (or part of a segment), track object instances, label objects with disconnected visible parts, and efficiently store and export annotations in the well-known COCO format. The annotation process is delivered through an intuitive... -
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OraMasking
Data masking tool for Oracle database
For Oracle database, mask sensitive data by replacement (static or expression), substitution (synthetic data set is included), random values (Lorum Ipsum) or deletion. Generates update/delete statements or triggers or runs directly against the database. -
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Multi-scaleMaskingofPoints
Subjects point geographic data sets to masking at different resolution
See: Clarke, K. C. (2015) Multi-scale Masking of Point Geographic Data. International Journal of Geographical Information Science. vol. 29. (accepted) -
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PANet
climate networks
PANet is a small C++ code that computes cross correlations between a set of time series, based on small snapshots of the data, in order to see the dynamical evolution of the relations between each two time series. Its most important output is the highest peak of the cross correlation function. It also gives info such as the second peak, the time delays of both peaks, and the standard deviation of the cross correlation function. There is also a built in option for a phase synchronization based...