75 Repositories
Python Fair-SSL Libraries
curl-impersonate: A special compilation of curl that makes it impersonate Chrome & Firefox
curl-impersonate A special compilation of curl that makes it impersonate real browsers. It can impersonate the four major browsers: Chrome, Edge, Safa
A ssl analyzer which could analyzer target domain's certificate.
ssl_analyzer A ssl analyzer which could analyzer target domain's certificate. Analyze the domain name ssl certificate information according to the inp
UT-Sarulab MOS prediction system using SSL models
UTMOS: UTokyo-SaruLab MOS Prediction System Official implementation of "UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022" submitted to INTERSP
SelfRemaster: SSL Speech Restoration
SelfRemaster: Self-Supervised Speech Restoration Official implementation of SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesi
fair-test is a library to build and deploy FAIR metrics tests APIs supporting the specifications used by the FAIRMetrics working group.
☑️ 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
Primedice like provably fair algorithm
SSL / TLS Checking Tool written in Python3
ssts-chk SSL / TLS Checking Tool written in Python3. This tool will perform the following functions: Connect the target given Analyze the secure conne
Regulatory Instruments for Fair Personalized Pricing.
Fair pricing Source code for WWW 2022 paper Regulatory Instruments for Fair Personalized Pricing. Installation Requirements Linux with Python = 3.6 p
Ssl-tool - A simple interactive CLI wrapper around openssl to make creation and installation of self-signed certs easy
What's this? A simple interactive CLI wrapper around openssl to make self-signin
FAIR Enough Metrics is an API for various FAIR Metrics Tests, written in python
☑️ FAIR Enough metrics for research FAIR Enough Metrics is an API for various FAIR Metrics Tests, written in python, conforming to the specifications
Self-supervised learning (SSL) is a method of machine learning
Self-supervised learning (SSL) is a method of machine learning. It learns from unlabeled sample data. It can be regarded as an intermediate form between supervised and unsupervised learning.
DEMO SOCKET AF INET SSL PYTHON
DEMO_SOCKET_AF_INET_SSL_PYTHON Python demo of socket family as AF_INET using TCP with SSL. Compatibility : macOS & GNU/Linux Network Topology style :
ServiceX Transformer that converts flat ROOT ntuples into columnwise data
ServiceX_Uproot_Transformer ServiceX Transformer that converts flat ROOT ntuples into columnwise data Usage You can invoke the transformer from the co
Code for Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? (SDM 2022)
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
Predict the output which should give a fair idea about the chances of admission for a student for a particular university.
Repository for the AugmentedPCA Python package.
Overview This Python package provides implementations of Augmented Principal Component Analysis (AugmentedPCA) - a family of linear factor models that
DeepMusic is an easy to use Spotify like app to manage and listen to your favorites musics.
DeepMusic is an easy to use Spotify like app to manage and listen to your favorites musics. Technically, this project is an Android Client and its ent
schemasheets - structuring your data using spreadsheets
schemasheets - structuring your data using spreadsheets Create a data dictionary / schema for your data using simple spreadsheets - no coding required
Fairstructure - Structure your data in a FAIR way using google sheets or TSVs
Fairstructure - Structure your data in a FAIR way using google sheets or TSVs. These are then converted to LinkML, and from there other formats
A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks
PixelSSL is a PyTorch-based semi-supervised learning (SSL) codebase for pixel-wise (Pixel) vision tasks. The purpose of this project is to promote the
A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems
Label-Propagation-with-Augmented-Anchors (A2LP) Official codes of the ECCV2020 spotlight (label propagation with augmented anchors: a simple semi-supe
Meta Learning for Semi-Supervised Few-Shot Classification
few-shot-ssl-public Code for paper Meta-Learning for Semi-Supervised Few-Shot Classification. [arxiv] Dependencies cv2 numpy pandas python 2.7 / 3.5+
Compute the fair market value (FMV) of staking rewards at time of receipt.
tendermint-tax A tool to help calculate the tax liability of staking rewards on Tendermint chains. Specifically, this tool calculates the fair market
Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR, 2019)
Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR 2019) To make better use of given limited labels, we propo
Collection of common code that's shared among different research projects in FAIR computer vision team.
fvcore fvcore is a light-weight core library that provides the most common and essential functionality shared in various computer vision frameworks de
Official implementation of the paper "Backdoor Attacks on Self-Supervised Learning".
SSL-Backdoor Abstract Large-scale unlabeled data has allowed recent progress in self-supervised learning methods that learn rich visual representation
Certifi: Python SSL Certificates
(Python Distribution) A carefully curated collection of Root Certificates for validating the trustworthiness of SSL certificates while verifying the identity of TLS hosts.
Event-driven networking engine written in Python.
Twisted For information on changes in this release, see the NEWS file. What is this? Twisted is an event-based framework for internet applications, su
A Python wrapper around the OpenSSL library
pyOpenSSL -- A Python wrapper around the OpenSSL library Note: The Python Cryptographic Authority strongly suggests the use of pyca/cryptography where
Trustme: #1 quality TLS certs while you wait
trustme: #1 quality TLS certs while you wait You wrote a cool network client or server. It encrypts connections using TLS. Your test suite needs to ma
SSLyze is a fast and powerful SSL/TLS scanning tool and Python library.
SSLyze SSLyze is a fast and powerful SSL/TLS scanning tool and Python library. SSLyze can analyze the SSL/TLS configuration of a server by connecting
A FAIR dataset of TCV experimental results for validating edge/divertor turbulence models.
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
Force SSL on your Flask app.
Flask-SSLify This is a simple Flask extension that configures your Flask application to redirect all incoming requests to HTTPS. The extension is no l
This is simply code for bitcoin fair value.
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
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification [pdf] The official repository for Self-Supervised Pre-Training for Transfo
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
PySlowFast PySlowFast is an open source video understanding codebase from FAIR that provides state-of-the-art video classification models with efficie
Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".
Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks This repository contains the official code for the
Semi-Supervised Learning for Fine-Grained Classification
Semi-Supervised Learning for Fine-Grained Classification This repo contains the code of: A Realistic Evaluation of Semi-Supervised Learning for Fine-G
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification [pdf] The official repository for Self-Supervised Pre-Training for Transfo
Create or join a private chatroom without any third-party middlemen in less than 30 seconds, available through an AES encrypted password protected link.
PY-CHAT Create or join a private chatroom without any third-party middlemen in less than 30 seconds, available through an AES encrypted password prote
Finetune SSL models for MOS prediction
Finetune SSL models for MOS prediction This is code for our paper under review for ICASSP 2022: "Generalization Ability of MOS Prediction Networks" Er
CertPy is a high level toolkit for generating x509 (e.g. SSL/TLS/HTTPS) certificates in Python.
CertPy CertPy is a high level toolkit for generating x509 (e.g. SSL/TLS/HTTPS) certificates in Python. Certificate “profiles” are implemented as Pytho
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
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
Fair Recommendation in Two-Sided Platforms
Source Code for ICSE 2022 Paper - ``Can We Achieve Fairness Using Semi-Supervised Learning?''
Fair-SSL Source Code for ICSE 2022 Paper - Can We Achieve Fairness Using Semi-Supervised Learning? Ethical bias in machine learning models has become
Back to Event Basics: SSL of Image Reconstruction for Event Cameras
Back to Event Basics: SSL of Image Reconstruction for Event Cameras Minimal code for Back to Event Basics: Self-Supervised Learning of Image Reconstru
AI Assistant for Building Reliable, High-performing and Fair Multilingual NLP Systems
AI Assistant for Building Reliable, High-performing and Fair Multilingual NLP Systems
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
DECAF (DEbiasing CAusal Fairness) Code Author: Trent Kyono This repository contains the code used for the "DECAF: Generating Fair Synthetic Data Using
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-t
The Self-Supervised Learner can be used to train a classifier with fewer labeled examples needed using self-supervised learning.
Published by SpaceML • About SpaceML • Quick Colab Example Self-Supervised Learner The Self-Supervised Learner can be used to train a classifier with
Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
FairGo WWW2021 Learning Fair Representations for Recommendation: A Graph-based Perspective As a key application of artificial intelligence, recommende
A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)
FairGNN A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (
LeBenchmark: a reproducible framework for assessing SSL from speech
LeBenchmark: a reproducible framework for assessing SSL from speech
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Preprocess file of the dataset used in implicit sub-populations: (Demographic groups
Code for the paper Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations (AKBC 2021).
Relation Prediction as an Auxiliary Training Objective for Knowledge Base Completion This repo provides the code for the paper Relation Prediction as
♻️ API to run evaluations of the FAIR principles (Findable, Accessible, Interoperable, Reusable) on online resources
♻️ FAIR enough 🎯 An OpenAPI where anyone can run evaluations to assess how compliant to the FAIR principles is a resource, given the resource identif
Flutter Reverse Engineering Framework
This framework helps reverse engineer Flutter apps using patched version of Flutter library which is already compiled and ready for app repacking. There are changes made to snapshot deserialization process that allow you perform dynamic analysis in a convenient way.
Apply Graph Self-Supervised Learning methods to graph-level task(TUDataset, MolculeNet Datset)
Graphlevel-SSL Overview Apply Graph Self-Supervised Learning methods to graph-level task(TUDataset, MolculeNet Dataset). It is unified framework to co
Snipe fair coin launches. Contact @dannsniper on telegram for whitelist
Pancakeswap-sniper Pancakeswap Sniper bot Full version of Pancakeswap sniping bot used to snipe during fair coin launches. With advanced options and a
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-t
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Introduction PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. Key features include: Data structure for
Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"
How Well Do Self-Supervised Models Transfer? This repository hosts the code for the experiments in the CVPR 2021 paper How Well Do Self-Supervised Mod
TedEval: A Fair Evaluation Metric for Scene Text Detectors
TedEval: A Fair Evaluation Metric for Scene Text Detectors Official Python 3 implementation of TedEval | paper | slides Chae Young Lee, Youngmin Baek,
ICLR 2021, Fair Mixup: Fairness via Interpolation
Fair Mixup: Fairness via Interpolation Training classifiers under fairness constraints such as group fairness, regularizes the disparities of predicti
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
mitmproxy mitmproxy is an interactive, SSL/TLS-capable intercepting proxy with a console interface for HTTP/1, HTTP/2, and WebSockets. mitmdump is the
SonicWALL SSL-VPN Web Server Vulnerable Exploit
SonicWALL SSL-VPN Web Server Vulnerable Exploit
a socket mock framework - for all kinds of socket animals, web-clients included
mocket /mɔˈkɛt/ A socket mock framework for all kinds of socket animals, web-clients included - with gevent/asyncio/SSL support ...and then MicroPytho
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
mitmproxy mitmproxy is an interactive, SSL/TLS-capable intercepting proxy with a console interface for HTTP/1, HTTP/2, and WebSockets. mitmdump is the
Websockify is a WebSocket to TCP proxy/bridge. This allows a browser to connect to any application/server/service. Implementations in Python, C, Node.js and Ruby.
websockify: WebSockets support for any application/server websockify was formerly named wsproxy and was part of the noVNC project. At the most basic l
SonicWall SSL-VPN Exploit
VisualDoor SonicWall SSL-VPN Exploit, as used by Phineas Fisher to hack Cayman Trust Bank and Hacking Team.
A pure Python script to easily get a reverse shell
easy-shell A pure Python script to easily get a reverse shell. How it works? After sending a request, it generates a payload with different commands a
a socket mock framework - for all kinds of socket animals, web-clients included
mocket /mɔˈkɛt/ A socket mock framework for all kinds of socket animals, web-clients included - with gevent/asyncio/SSL support ...and then MicroPytho
a socket mock framework - for all kinds of socket animals, web-clients included
mocket /mɔˈkɛt/ A socket mock framework for all kinds of socket animals, web-clients included - with gevent/asyncio/SSL support ...and then MicroPytho
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
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
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Detectron is deprecated. Please see detectron2, a ground-up rewrite of Detectron in PyTorch. Detectron Detectron is Facebook AI Research's software sy