Python Privacy-metrics Resources

Fairness Metrics: All you need to know Testing machine learning software for ethical bias has become a pressing current concern. Recent research has p

High-fidelity performance metrics for generative models in PyTorch

Aadhaar Number Masking Pipeline Implementation of a complete pipeline that masks the Aadhaar Number in given images to adhere to Govt. of India's Priv

DOC | Quick Start | 中文 FATE (Federated AI Technology Enabler) is an open-source project initiated by Webank's AI Department to provide a secure comput

commit-prefix-analysis Script to quickly get the metrics from Github repos to analyze. Setup Install the Github CLI. You'll know its working when runn

BEAMetrics: Benchmark to Evaluate Automatic Metrics in Natural Language Generation Installing The Dependencies $ conda create --name beametrics python

Continual Reinforcement Learning This repository provides a simple way to run continual reinforcement learning experiments in PyTorch, including evalu

Taming Visually Guided Sound Generation • [Project Page] • [ArXiv] • [Poster] • • Listen for the samples on our project page. Overview We propose to t

Open-source library for reliable evaluation on reinforcement learning and machine learning benchmarks. See NeurIPS 2021 oral for details.

fast_bss_eval Do you have a zillion BSS audio files to process and it is taking days ? Is your simulation never ending ? Fear no more! fast_bss_eval i

Leon Your open-source personal assistant. Website :: Documentation :: Roadmap :: Contributing :: Story 👋 Introduction Leon is an open-source personal

fast_bss_eval Do you have a zillion BSS audio files to process and it is taking days ? Is your simulation never ending ? Fear no more! fast_bss_eval i

DP-CL(Continual Learning with Differential Privacy) This is the official implementation of the Continual Learning with Differential Privacy. If you us

Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes Supplementary materials for ISMIR 2021 LBD submission: K. N. W

Toolkit for Building Robust ML models that generalize to unseen domains (RobustDG) Divyat Mahajan, Shruti Tople, Amit Sharma Privacy & Causal Learning

blockprint This is a repository for discussion and development of tools for Ethereum block fingerprinting. The primary aim is to measure beacon chain

Website, Tutorials, and Docs    Uncertainty Toolbox A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualizatio

🌍 Take back your privacy with Dot Browser, the privacy-conscious web browser that protects you from being tracked and monitored online.

Image Quality Evaluation Metrics Implementation of some common full reference image quality metrics. The repo is built based on full reference image q

Python implementation of the IPv8 layer provide authenticated communication with privacy

Pardus Lookout We protect the privacy of the data on your computer by using the camera of your Debian based Pardus operating system. The application i

Password-Manager Create Account Quick Login Generate Password Save Password Offline App Passwords are stored on your system and no one has access to t

Reformulation-Aware-Metrics Introduction This codebase contains source-code of the Python-based implementation of our CIKM 2021 paper. Chen, Jia, et a

Simple tool/toolkit for evaluating NLG (Natural Language Generation) offering various automated metrics. Jury offers a smooth and easy-to-use interface. It uses datasets for underlying metric computation, and hence adding custom metric is easy as adopting datasets.Metric.

iometrics Monitor and log Network and Disks statistics in MegaBytes per second. Install pip install iometrics Usage Pytorch-lightning integration from

Map Metrics for Trajectory Quality Map metrics toolkit provides a set of metrics to quantitatively evaluate trajectory quality via estimating consiste

A suite of utilities for AWS Lambda Functions that makes tracing with AWS X-Ray, structured logging and creating custom metrics asynchronously easier

OpenMEVA Contributed by Jian Guan, Zhexin Zhang. Thank Jiaxin Wen for DeBugging. OpenMEVA is a benchmark for evaluating open-ended story generation me

Fast k-NN graph construction for slow metrics

rotki is an open source portfolio tracking, analytics, accounting and tax reporting tool that respects your privacy. The mission of rotki is to bring transparency into the crypto and financial sectors through the use of open source.

Heimdall Cloud Checker 🇧🇷 About Visius is a Brazilian cybersecurity startup that follows the signs of the crimson thunder ;) 🎸 ! As we value open s

chia-monitor A monitoring tool to collect all important metrics from your Chia farming node and connected harvesters. It can send you push notificatio

Timbre Dissimilarity Metrics A collection of metrics for evaluating timbre dissimilarity using the TorchMetrics API Installation pip install -e . Usag

privalise Social Media Network Focuses On Data Security And Being Community Driven Web App The Main Idea: We`ve seen social media web apps that focuse

To achieve this, the APIs of different services are used, sending only a part of the Hash of the password we want to check, for example, the first 5 characters.

Adversarial Robustness Toolbox (ART) is a Python library for Machine Learning Security. ART provides tools that enable developers and researchers to defend and evaluate Machine Learning models and applications against the adversarial threats of Evasion, Poisoning, Extraction, and Inference. ART supports all popular machine learning frameworks (TensorFlow, Keras, PyTorch, MXNet, scikit-learn, XGBoost, LightGBM, CatBoost, GPy, etc.), all data types (images, tables, audio, video, etc.) and machine learning tasks (classification, object detection, speech recognition, generation, certification, etc.).

ddgr is a cmdline utility to search DuckDuckGo (html version) from the terminal. While googler is extremely popular among cmdline users, in many forums the need of a similar utility for privacy-aware DuckDuckGo came up. DuckDuckGo Bangs are super-cool too! So here's ddgr for you!

UQ360 The Uncertainty Quantification 360 (UQ360) toolkit is an open-source Python package that provides a diverse set of algorithms to quantify uncert

Push metrics from your periodic long-running jobs to existing Prometheus/VictoriaMetrics monitoring system.

Protecting your privacy using an ESP32, an IR sensor and a python script This project, which I personally call the "never-gonna-catch-me-in-the-act-ev

Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition This is the research repository for Vid2

UQ360 The Uncertainty Quantification 360 (UQ360) toolkit is an open-source Python package that provides a diverse set of algorithms to quantify uncert

wide-minima-density-hypothesis Details about the wide minima density hypothesis and metrics to compute width of a minima This repo presents the wide m

whm also known as wifi-heat-mapper is a Python library for benchmarking Wi-Fi networks and gather useful metrics that can be converted into meaningful easy-to-understand heatmaps.

federated is the source code for the Bachelor's Thesis Privacy-Preserving Federated Learning Applied to Decentralized Data (Spring 2021, NTNU) Federat

Image Crop Analysis This is a repo for the code used for reproducing our Image Crop Analysis paper as shared on our blog post. If you plan to use this

Evaluating the Factual Consistency of Abstractive Text Summarization Authors: Wojciech Kryściński, Bryan McCann, Caiming Xiong, and Richard Socher Int

Assessing Dialogue Systems with Distribution Distances [arXiv][code] We propose to measure the performance of a dialogue system by computing the distr

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

pihole-antitelemetry Research shows Google collects 20x more data from Android than Apple collects from iOS. Block both using these pihole lists. Proj

OCTIS : Optimizing and Comparing Topic Models is Simple! OCTIS (Optimizing and Comparing Topic models Is Simple) aims at training, analyzing and compa

BMW-Anonymization-Api Data privacy and individuals’ anonymity are and always have been a major concern for data-driven companies. Therefore, we design

Pandana Pandana is a Python library for network analysis that uses contraction hierarchies to calculate super-fast travel accessibility metrics and sh

Undistillable: Making A Nasty Teacher That CANNOT teach students "Undistillable: Making A Nasty Teacher That CANNOT teach students" Haoyu Ma, Tianlong

A Study of Face Obfuscation in ImageNet Code for the paper: A Study of Face Obfuscation in ImageNet Kaiyu Yang, Jacqueline Yau, Li Fei-Fei, Jia Deng,

Tribler Towards making Bittorrent anonymous and impossible to shut down. We use our own dedicated Tor-like network for anonymous torrent downloading.

empyrical Common financial risk metrics. Table of Contents Installation Usage Support Contributing Testing Installation pip install empyrical Usage S

onemetric Installation Install onemetric from PyPI (recommended): pip install onemetric Install onemetric from the GitHub source: git clone https://gi

Home Assistant Open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiast

Machine learning metrics for distributed, scalable PyTorch applications.

Privacy-respecting, hackable metasearch engine / pronunciation səːks. If you are looking for running instances, ready to use, then visit searx.space.

Take Note! With the exception of issues and PRs regarding changes to hosts/data/StevenBlack/hosts, all other issues regarding the content of the produ

Hera Train/evaluate a Keras model, get metrics streamed to a dashboard in your browser. Setting up Step 1. Plant the spy Install the package pip

Welcome to Mailpile! Introduction Mailpile (https://www.mailpile.is/) is a modern, fast web-mail client with user-friendly encryption and privacy feat

Inboxen This is the complete system with everything you need to set up Inboxen. The current maintainer of this repo is Matt Molyneaux GPG keys GPG key

buku buku in action! Introduction buku is a powerful bookmark manager written in Python3 and SQLite3. When I started writing it, I couldn't find a fle

Basic Utilities for PyTorch Natural Language Processing (NLP) PyTorch-NLP, or torchnlp for short, is a library of basic utilities for PyTorch NLP. tor

Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p

Prometheus FastAPI Instrumentator A configurable and modular Prometheus Instrumentator for your FastAPI. Install prometheus-fastapi-instrumentator fro

Basic Utilities for PyTorch Natural Language Processing (NLP) PyTorch-NLP, or torchnlp for short, is a library of basic utilities for PyTorch NLP. tor

TL;DR Ignite is a high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Click on the image to

Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p

Prometheus FastAPI Instrumentator A configurable and modular Prometheus Instrumentator for your FastAPI. Install prometheus-fastapi-instrumentator fro

Diamond Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory,

pytest-play pytest-play is a codeless, generic, pluggable and extensible automation tool, not necessarily test automation only, based on the fantastic

Radon Radon is a Python tool that computes various metrics from the source code. Radon can compute: McCabe's complexity, i.e. cyclomatic complexity ra

Prometheus Python Client The official Python 2 and 3 client for Prometheus. Three Step Demo One: Install the client: pip install prometheus-client Tw

Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p

timing-asgi This is a timing middleware for ASGI, useful for automatic instrumentation of ASGI endpoints. This was developed at GRID for use with our

GoAccess What is it? GoAccess is an open source real-time web log analyzer and interactive viewer that runs in a terminal on *nix systems or through y

Prometheus Flask exporter This library provides HTTP request metrics to export into Prometheus. It can also track method invocations using convenient

ngxtop - real-time metrics for nginx server (and others) ngxtop parses your nginx access log and outputs useful, top-like, metrics of your nginx serve

Prometheus Python Client The official Python 2 and 3 client for Prometheus. Three Step Demo One: Install the client: pip install prometheus-client Tw

ImageHashMasks Lookup Hashmask NFT index from a picture Setup pip install pillow click imagehash Usage $ python imagehashmasks.py

Basic Utilities for PyTorch Natural Language Processing (NLP) PyTorch-NLP, or torchnlp for short, is a library of basic utilities for PyTorch NLP. tor

PyGrid is a peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft. PyGrid is also the central serv

A library for computing on data you do not own and cannot see PySyft is a Python library for secure and private Deep Learning. PySyft decouples privat

Note: the current releases of this toolbox are a beta release, to test working with Haskell's, Python's, and R's code repositories. Metrics provides i