Search Results for "data masking"
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Showing 42 open source projects for "data masking"
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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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Obscura
The headless browser for AI agents and web scraping
...The project reflects modern concerns around digital surveillance and data exposure. -
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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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PasteGuard
Masks sensitive data and secrets before they reach AI
PasteGuard is an open-source privacy proxy that protects sensitive information like personal data and API secrets by detecting and masking them before they reach large language model APIs such as OpenAI or Anthropic Claude. It sits between an application and the LLM provider, automatically replacing names, emails, tokens, and other personally identifiable information (PII) with placeholders so that external services never see raw sensitive values, and then optionally unmasking them in the returned output. ... -
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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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vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
...This objective encourages the model to learn semantics, motion, and long-range structure without the shortcuts that pixel-level losses can invite. The architecture 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
...This makes learning focus on semantics and structure, yielding features that transfer well 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. -
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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. The Greenmask utility plays a central role in the Greenmask ecosystem. ... -
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LLM101n
LLM101n: Let's build a Storyteller
...It emphasizes intuition and hands-on implementation, guiding you from tokenization and embeddings to attention, transformer blocks, and sampling. The materials favor compact, readable code and incremental steps, so learners can verify each concept before moving on. You’ll see how data pipelines, batching, masking, and positional encodings fit together to train a small GPT-style model end to end. The repo often complements explanations with runnable notebooks or scripts, encouraging experimentation and modification. By the end, the focus is less on polishing a production system and more on internalizing how LLM components interact to produce coherent text. -
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Unified Communication X
Communication framework for data-centric high-performance applications
...UCX facilitates rapid development by providing a high-level API, masking the low-level details, while maintaining high-performance and scalability. UCX implements best practices for transfer of messages of all sizes, based on accumulated experience gained from applications running on the world’s largest datacenters and supercomputers. -
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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. -
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OpenAI Privacy Filter
Bidirectional token-classification model for identifiable info
OpenAI Privacy Filter is an open-weight machine learning model designed to detect and mask personally identifiable information in text with high efficiency and contextual awareness. It operates as a bidirectional token classification system that labels sensitive data in a single forward pass rather than generating text sequentially, enabling fast processing for large datasets. The model supports long-context inputs, allowing it to analyze extensive documents without chunking, which improves... -
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Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
Thin PostgreSQL clones. DLE provides blazing-fast database cloning to build powerful development, test, QA, staging environments. Follow to stay updated. The Database Lab Engine is an open-source experimentation platform for PostgreSQL databases. Instantly create full-size clones of your production database and use them to test your database migrations, optimize SQL, or deploy full-size staging apps. The Database Lab Engine (DLE) runs on an independent server within your own infrastructure.... -
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drawx
Fastest crossplot in the west. Data masking capabilities & animations
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... -
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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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PII-Blackout
100% offline, AI-powered PDF redaction
PII Blackout — 100% Offline, Automated PDF & Image Redaction Protecting sensitive data shouldn't mean risking your privacy by uploading files to online tools. PII Blackout is a powerful, local-first desktop application that automates the tedious process of finding and masking Personally Identifiable Information (PII) with military-grade security. Key Features: Smart Auto-Detection & Redaction Manually searching for emails, phone numbers, tax IDs, and names is a thing of the past. ... -
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REDACT
Erase everything. Leave nothing.
REDACT 3.3.0 is an open-source Windows anti-forensics & artifact sanitization suite that permanently destroys 255 system artifacts — browser history, registry traces, NTFS change journals, Windows Recall AI snapshots, live RAM, and encrypted volume key material. New in 3.3.0: Auto-Trigger Engine — USB Panic Trigger, Login Failure Trigger, and Dead Man's Switch fire a HIGH-tier wipe automatically without manual interaction. BitLocker and VeraCrypt header destruction renders encrypted... -
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BelNet
BelNet is a decentralized VPN for private secure browsing.
BelNet is a decentralized VPN built on the Beldex blockchain for users who prioritize privacy, security, and unrestricted internet access. BelNet uses a peer-to-peer decentralized network instead of centralized servers to help protect user anonymity and encrypt internet traffic. It enables secure browsing, confidential communication, and access to websites in restricted regions while enhancing online privacy and censorship resistance. Key features of BelNet include decentralized routing,... -
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Image16
Image viewer/editor specialized in astrophotography 16bits processing
...Debayering/Bayering. Inversion, mirroring, rotation, barrel/pincushion correction. RGB alignment/shifting. Erode, Dilate, ... Blurring (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. ... -
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iJEPA
Official codebase for I-JEPA
...This objective sidesteps generative pixel losses and avoids heavy negative sampling, producing features that transfer 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 is... -
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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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Jraph
A Graph Neural Network Library in Jax
Jraph (pronounced “giraffe”) is a lightweight JAX library developed by Google DeepMind for building and experimenting with graph neural networks (GNNs). It provides an efficient and flexible framework for representing, manipulating, and training models on graph-structured data. The core of Jraph is the GraphsTuple data structure, which enables users to define graphs with arbitrary node, edge, and global attributes, and to batch variable-sized graphs efficiently for JAX’s just-in-time 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. ... -
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RoBERTa for Chinese
RoBERTa Chinese pre-training model: RoBERTa for Chinese
...It provides TensorFlow and PyTorch-compatible model releases trained on large-scale Chinese text. The project follows the main RoBERTa training ideas, including removing next sentence prediction, using more diverse data, training longer, increasing batch size, and tuning optimization settings. Its training data includes news, community discussion, encyclopedia content, and other broad Chinese text sources. The repository also describes whole word masking for Chinese and provides examples for loading and fine-tuning models on sentence-pair matching tasks. ...