Python Fair-enough Resources

☑️ FAIR test fair-test is a library to build and deploy FAIR metrics tests APIs supporting the specifications used by the FAIRMetrics working group. I

Primedice like provably fair algorithm

Fair pricing Source code for WWW 2022 paper Regulatory Instruments for Fair Personalized Pricing. Installation Requirements Linux with Python = 3.6 p

☑️ FAIR Enough metrics for research FAIR Enough Metrics is an API for various FAIR Metrics Tests, written in python, conforming to the specifications

Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? (SDM 2022) We consider how a user of a web servi

Predict the output which should give a fair idea about the chances of admission for a student for a particular university.

Overview This Python package provides implementations of Augmented Principal Component Analysis (AugmentedPCA) - a family of linear factor models that

schemasheets - structuring your data using spreadsheets Create a data dictionary / schema for your data using simple spreadsheets - no coding required

Metacognitive Learning Tool box https://re.is.mpg.de What Is This? This repository contains two modules used to analyse metacognitive learning in huma

Fairstructure - Structure your data in a FAIR way using google sheets or TSVs. These are then converted to LinkML, and from there other formats

tendermint-tax A tool to help calculate the tax liability of staking rewards on Tendermint chains. Specifically, this tool calculates the fair market

Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding This repository contains the official PyTorch implementation of th

1 Introduction Official code for article "Expression is enough: Improving traffic signal control with advanced traffic state representation". The code s

fvcore fvcore is a light-weight core library that provides the most common and essential functionality shared in various computer vision frameworks de

TCV-X21 validation for divertor turbulence simulations Quick links Intro Welcome to TCV-X21. We're glad you've found us! This repository is designed t

About The Project This is a code for bitcoin fair value, its simply exclude bubble data using RANSAC method, and then plot the results. Check youtube

PySlowFast PySlowFast is an open source video understanding codebase from FAIR that provides state-of-the-art video classification models with efficie

What's New Below we share, in reverse chronological order, the updates and new releases in VISSL. All VISSL releases are available here. [Oct 2021]: V

Fair Recommendation in Two-Sided Platforms

One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search paper | website One Proxy Device Is Enough for Hardware-Aware Neural Architec

Fair-SSL Source Code for ICSE 2022 Paper - Can We Achieve Fairness Using Semi-Supervised Learning? Ethical bias in machine learning models has become

AI Assistant for Building Reliable, High-performing and Fair Multilingual NLP Systems

DECAF (DEbiasing CAusal Fairness) Code Author: Trent Kyono This repository contains the code used for the "DECAF: Generating Fair Synthetic Data Using

MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-t

Statusbar-TenorGIF App for Linux A quick and dirty QT Statusbar implementation for grabbing GIFs from Tenor, since there is no offical one and I didnt

FairGo WWW2021 Learning Fair Representations for Recommendation: A Graph-based Perspective As a key application of artificial intelligence, recommende

FairGNN A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (

♻️ FAIR enough 🎯 An OpenAPI where anyone can run evaluations to assess how compliant to the FAIR principles is a resource, given the resource identif

Pancakeswap-sniper Pancakeswap Sniper bot Full version of Pancakeswap sniping bot used to snipe during fair coin launches. With advanced options and a

Table of Content Introduction Datasets Getting Started Requirements Usage Example Training & Evaluation CPM: Color-Pattern Makeup Transfer CPM is a ho

MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-t

Introduction PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. Key features include: Data structure for

TedEval: A Fair Evaluation Metric for Scene Text Detectors Official Python 3 implementation of TedEval | paper | slides Chae Young Lee, Youngmin Baek,

Fair Mixup: Fairness via Interpolation Training classifiers under fairness constraints such as group fairness, regularizes the disparities of predicti

Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up r

Detectron is deprecated. Please see detectron2, a ground-up rewrite of Detectron in PyTorch. Detectron Detectron is Facebook AI Research's software sy