148 Repositories
Python concept-generalization Libraries
Spring4Shell Proof Of Concept/And vulnerable application CVE-2022-22965
Spring4Shell-POC (CVE-2022-22965) Spring4Shell (CVE-2022-22965) Proof Of Concept/Information + A vulnerable Tomcat server with a vulnerable spring4she
Data stream analytics: Implement online learning methods to address concept drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" accepted in IEEE GlobeCom 2021.
PWPAE-Concept-Drift-Detection-and-Adaptation This is the code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT
[Arxiv preprint] Causality-inspired Single-source Domain Generalization for Medical Image Segmentation (code&data-processing pipeline)
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation Arxiv preprint Repository under construction. Might still be bug
Code of paper: "DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks"
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks Abstract: Adversarial training has been proven to
codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"
Eigenlearning This repo contains code for replicating the experiments of the paper A Theory of the Inductive Bias and Generalization of Kernel Regress
[CVPR 2022] Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper
template-pose Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions
Pytest-rich - Pytest + rich integration (proof of concept)
pytest-rich Leverage rich for richer test session output. This plugin is not pub
SAGE: Sensitivity-guided Adaptive Learning Rate for Transformers
SAGE: Sensitivity-guided Adaptive Learning Rate for Transformers This repo contains our codes for the paper "No Parameters Left Behind: Sensitivity Gu
An implementation of Relaxed Linear Adversarial Concept Erasure (RLACE)
Background This repository contains an implementation of Relaxed Linear Adversarial Concept Erasure (RLACE). Given a dataset X of dense representation
pybaum provides tools to work with pytrees which is a concept burrowed from JAX.
pybaum provides tools to work with pytrees which is a concept burrowed from JAX.
Adaout is a practical and flexible regularization method with high generalization and interpretability
Adaout Adaout is a practical and flexible regularization method with high generalization and interpretability. Requirements python 3.6 (Anaconda versi
A proof-of-concept package manager for Cairo contracts/libraries
glyph A proof-of-concept package manager for Cairo contracts/libraries. Distribution through pypi. Installation through existing package managers -- p
A Python-based command prompt concept which includes windows command emulation.
PythonCMD A Python-based command prompt concept which includes windows command emulation. Current features: echo: Input your message and it will be cl
Example of semantic segmentation in Keras
keras-semantic-segmentation-example Example of semantic segmentation in Keras Single class example: Generated data: random ellipse with random color o
PyTorch implementation of our paper How robust are discriminatively trained zero-shot learning models?
How robust are discriminatively trained zero-shot learning models? This repository contains the PyTorch implementation of our paper How robust are dis
What can linearized neural networks actually say about generalization?
What can linearized neural networks actually say about generalization? This is the source code to reproduce the experiments of the NeurIPS 2021 paper
Neural Tangent Generalization Attacks (NTGA)
Neural Tangent Generalization Attacks (NTGA) ICML 2021 Video | Paper | Quickstart | Results | Unlearnable Datasets | Competitions | Citation Overview
Chess turnament organizer (short construct concept)
Turnament Organizer Chess turnament organizer (short construct concept). It is my hobby app I want to write to support lightweight tool for smart roun
Proof of concept of CVE-2022-21907 Double Free in http.sys driver, triggering a kernel crash on IIS servers
CVE-2022-21907 - Double Free in http.sys driver Summary An unauthenticated attacker can send an HTTP request with an "Accept-Encoding" HTTP request he
Discord group chat spammer concept.
GC Spammer [Concept] GC-Spammer for https://discord.com/ Warning: This is purely a concept. In the past the script worked, however, Discord ratelimite
Scripts used to make and evaluate OpenAlex's concept tagging model
openalex-concept-tagging This repository contains all of the code for getting the concept tagger up and running. To learn more about where this model
Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization
Head2Toe: Utilizing Intermediate Representations for Better OOD Generalization Code for reproducing our results in the Head2Toe paper. Paper: arxiv.or
Sukoshi is a proof-of-concept Python implant that leverages the MQTT protocol for C2 and uses AWS IoT Core as infrastructure.
Sukoshi | ε°γ Overview Sukoshi is a proof-of-concept Python implant that leverages the MQTT protocol for C2 and uses AWS IoT Core as infrastructure. It
Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS, 2021
Code for "An Empirical Investigation of Domian Generalization with Empirical Risk Minimizers" (NeurIPS 2021) Motivation and Introduction Domain Genera
We present a regularized self-labeling approach to improve the generalization and robustness properties of fine-tuning.
Overview This repository provides the implementation for the paper "Improved Regularization and Robustness for Fine-tuning in Neural Networks", which
A proof-of-concept jupyter extension which converts english queries into relevant python code
Text2Code for Jupyter notebook A proof-of-concept jupyter extension which converts english queries into relevant python code. Blog post with more deta
β‘ PoC: Hide a c&c botnet in the discord client. (Proof Of Concept)
Discord-BotnetClient Embed C&C botnet into the discord client. Working trought websocket c&c server. How to use. pip3 install websocket_server colored
Demonstration of transfer of knowledge and generalization with distillation
Distilling-the-Knowledge-in-a-Neural-Network This is an implementation of a part of the paper "Distilling the Knowledge in a Neural Network" (https://
Algorithms for outlier, adversarial and drift detection
Alibi Detect is an open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline d
Train Scene Graph Generation for Visual Genome and GQA in PyTorch = 1.2 with improved zero and few-shot generalization.
Scene Graph Generation Object Detections Ground truth Scene Graph Generated Scene Graph In this visualization, woman sitting on rock is a zero-shot tr
CSAC - Collaborative Semantic Aggregation and Calibration for Separated Domain Generalization
CSAC Introduction This repository contains the implementation code for paper: Co
QR2Pass-project - A proof of concept for an alternative (passwordless) authentication system to a web server
QR2Pass This is a proof of concept for an alternative (passwordless) authenticat
Self-supervised learning optimally robust representations for domain generalization.
OptDom: Learning Optimal Representations for Domain Generalization This repository contains the official implementation for Optimal Representations fo
Iowa Project - My second project done at General Assembly, focused on feature engineering and understanding Linear Regression as a concept
Project 2 - Ames Housing Data and Kaggle Challenge PROBLEM STATEMENT Inferring or Predicting? What's more valuable for a housing model? When creating
Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)
T-Zero This repository serves primarily as codebase and instructions for training, evaluation and inference of T0. T0 is the model developed in Multit
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
This is the code for the paper: MSeg: A Composite Dataset for Multi-domain Semantic Segmentation (CVPR 2020, Official Repo) [CVPR PDF] [Journal PDF] J
Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation
OoD_Gen-Chest_Xray Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation Requirements (Installations) Install the following libra
Implementation for "Domain-Specific Bias Filtering for Single Labeled Domain Generalization"
DSBF Introduction This repository contains the implementation code for paper: Domain-Specific Bias Filtering for Single Labeled Domain Generalization
proof-of-concept running docker container from omero web
docker-from-omero-poc proof-of-concept running docker container from omero web How-to Edit test_script.py so that the BaseClient is created pointing t
Fiber implements an proof-of-concept Python decorator that rewrites a function
Fiber implements an proof-of-concept Python decorator that rewrites a function so that it can be paused and resumed (by moving stack variables to a heap frame and adding if statements to simulate jumps/gotos to specific lines of code).
Resources related to our paper "CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain"
CLIN-X (CLIN-X-ES) & (CLIN-X-EN) This repository holds the companion code for the system reported in the paper: "CLIN-X: pre-trained language models a
A New Open-Source Off-road Environment for Benchmark Generalization of Autonomous Driving
A New Open-Source Off-road Environment for Benchmark Generalization of Autonomous Driving Isaac Han, Dong-Hyeok Park, and Kyung-Joong Kim IEEE Access
Benchmark for the generalization of 3D machine learning models across different remeshing/samplings of a surface.
Discretization Robust Correspondence Benchmark One challenge of machine learning on 3D surfaces is that there are many different representations/sampl
Log4Shell Proof of Concept (CVE-2021-44228)
CVE-2021-44228 Log4Shell Proof of Concept (CVE-2021-44228) Make sure to use Java 8 JDK. Java 8 Download Images Credits Casey Dunham - Java Reverse She
A Proof-Of-Concept for the recently found CVE-2021-44228 vulnerability
log4j-shell-poc A Proof-Of-Concept for the recently found CVE-2021-44228 vulnerability. Recently there was a new vulnerability in log4j, a java loggin
A proof-of-concept implementation of a parallel-decodable PNG format
mtpng A parallelized PNG encoder in Rust by Brion Vibber [email protected] Background Compressing PNG files is a relatively slow operation at large imag
Python's simple login system concept - Advanced level
Simple login system with Python - For beginners Creating a simple login system using python for beginners this repository aims to provide a simple ove
Proof of concept for CVE-2021-31166, a remote HTTP.sys use-after-free triggered remotely.
CVE-2021-31166: HTTP Protocol Stack Remote Code Execution Vulnerability This is a proof of concept for CVE-2021-31166 ("HTTP Protocol Stack Remote Cod
CONCEPT (COsmological N-body CodE in PyThon) is a free and open-source simulation code for cosmological structure formation
CONCEPT (COsmological N-body CodE in PyThon) is a free and open-source simulation code for cosmological structure formation. The code should run on any Linux system, from massively parallel computer clusters to laptops.
A proof-of-concept exploit for Log4j RCE Unauthenticated (CVE-2021-44228)
CVE-2021-44228 β Log4j RCE Unauthenticated About This is a proof-of-concept exploit for Log4j RCE Unauthenticated (CVE-2021-44228). This vulnerability
This is a proof-of-concept exploit for Grafana's Unauthorized Arbitrary File Read Vulnerability (CVE-2021-43798).
CVE-2021-43798 β Grafana Exploit About This is a proof-of-concept exploit for Grafana's Unauthorized Arbitrary File Read Vulnerability (CVE-2021-43798
Code accompanying "Adaptive Methods for Aggregated Domain Generalization"
Adaptive Methods for Aggregated Domain Generalization (AdaClust) Official Pytorch Implementation of Adaptive Methods for Aggregated Domain Generalizat
Code for paper "Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation" EMNLP 2021
The repo provides the code for paper "Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation" EMNLP 2
Concept drift monitoring for HA model servers.
{Fast, Correct, Simple} - pick three Easily compare training and production ML data & model distributions Goals Boxkite is an instrumentation library
Proof of concept GnuCash Webinterface
Proof of Concept GnuCash Webinterface This may one day be a something truly great. Milestones [ ] Browse accounts and view transactions [ ] Record sim
Proof of Concept Exploit for ManageEngine ServiceDesk Plus CVE-2021-44077
CVE-2021-44077 Proof of Concept Exploit for CVE-2021-44077: PreAuth RCE in ManageEngine ServiceDesk Plus 11306 Based on: https://xz.aliyun.com/t/106
Proof of concept to check if hosts are vulnerable to CVE-2021-41773
CVE-2021-41773 PoC Proof of concept to check if hosts are vulnerable to CVE-2021-41773. Description (https://cve.mitre.org/cgi-bin/cvename.cgi?name=CV
Proof of concept GnuCash Webinterface
Proof of Concept GnuCash Webinterface This may one day be a something truly great. Milestones [ ] Browse accounts and view transactions [ ] Record sim
PyTorch implementation of Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
Simple PyTorch Implementation of "Grokking" Implementation of Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets Usage Running
PyTorch implementation of Decoupling Value and Policy for Generalization in Reinforcement Learning
PyTorch implementation of Decoupling Value and Policy for Generalization in Reinforcement Learning
Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'
Re-implementation of the paper 'Grokking: Generalization beyond overfitting on small algorithmic datasets' Paper Original paper can be found here Data
OOD Generalization and Detection (ACL 2020)
Pretrained Transformers Improve Out-of-Distribution Robustness How does pretraining affect out-of-distribution robustness? We create an OOD benchmark
EMNLP 2021 paper The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers.
Codebase for training transformers on systematic generalization datasets. The official repository for our EMNLP 2021 paper The Devil is in the Detail:
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)
Structured Super Lottery Tickets in BERT This repo contains our codes for the paper "Super Tickets in Pre-Trained Language Models: From Model Compress
Sodium is a general purpose programming language which is instruction-oriented (a new programming concept that we are developing and devising) [Still developing...]
Sodium Programming Language Sodium is a general purpose programming language which is instruction-oriented (a new programming concept that we are deve
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting
QAConv Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting This PyTorch code is proposed in
Toward a Visual Concept Vocabulary for GAN Latent Space, ICCV 2021
Toward a Visual Concept Vocabulary for GAN Latent Space Code and data from the ICCV 2021 paper Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Kl
A Benchmark For Measuring Systematic Generalization of Multi-Hierarchical Reasoning
Orchard Dataset This repository contains the code used for generating the Orchard Dataset, as seen in the Multi-Hierarchical Reasoning in Sequences: S
This is a partial and quick and dirty proof of concept implementation of the following specifications to configure a tor client to use trusted exit relays only.
This is a partial and quick and dirty proof of concept implementation of the following specifications to configure a tor client to use trusted exit re
Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.
PHDimGeneralization Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021. Overvie
Codebase for Amodal Segmentation through Out-of-Task andOut-of-Distribution Generalization with a Bayesian Model
Codebase for Amodal Segmentation through Out-of-Task andOut-of-Distribution Generalization with a Bayesian Model
A new test set for ImageNet
ImageNetV2 The ImageNetV2 dataset contains new test data for the ImageNet benchmark. This repository provides associated code for assembling and worki
CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
A concept I came up which ditches the idea of "layers" in a neural network.
Dynet A concept I came up which ditches the idea of "layers" in a neural network. Install Copy Dynet.py to your project. Run the example Install matpl
IP Denial of Service Vulnerability ")A proof of concept for CVE-2021-24086 ("Windows TCP/IP Denial of Service Vulnerability ")
CVE-2021-24086 This is a proof of concept for CVE-2021-24086 ("Windows TCP/IP Denial of Service Vulnerability "), a NULL dereference in tcpip.sys patc
Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis
Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis This is a PyTorch implementation of the model described in our pape
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning
MSVCL_MICCAI2021 Installation Please follow the instruction in pytorch-CycleGAN-and-pix2pix to install. Example Usage An example of vendor-styles tran
PyTorch Code for "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning"
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning [Project Page] [Paper] Wenlong Huang1, Igor Mordatch2, Pieter Abbeel1,
Scikit learn library models to account for data and concept drift.
liquid_scikit_learn Scikit learn library models to account for data and concept drift. This python library focuses on solving data drift and concept d
Python-based proof-of-concept tool for generating payloads that utilize unsafe Java object deserialization.
Python-based proof-of-concept tool for generating payloads that utilize unsafe Java object deserialization.
π River is a Python library for online machine learning.
River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition is to be the go-to library for doing machine learning on streaming data.
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
Understanding the Generalization Benefit of Model Invariance from a Data Perspective This is the code for our NeurIPS2021 paper "Understanding the Gen
RSA Cryptography Authentication Proof-of-Concept
RSA Cryptography Authentication Proof-of-Concept This project was a request by Structured Programming lectures in Computer Science college. It runs wi
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated
We present a regularized self-labeling approach to improve the generalization and robustness properties of fine-tuning.
Overview This repository provides the implementation for the paper "Improved Regularization and Robustness for Fine-tuning in Neural Networks", which
Proof-Of-Concept Piano-Drums Music AI Model/Implementation
Rock Piano "When all is one and one is all, that's what it is to be a rock and not to roll." ---Led Zeppelin, "Stairway To Heaven" Proof-Of-Concept Pi
[ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? [Paper] [ICML'21 Project] PyTorch Implementation T
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Introduction Graph Neural Networks (GNNs) have demonstrated
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail Inversion Preface This directory provides an implementation of the algori
Implementation for paper "Towards the Generalization of Contrastive Self-Supervised Learning"
Contrastive Self-Supervised Learning on CIFAR-10 Paper "Towards the Generalization of Contrastive Self-Supervised Learning", Weiran Huang, Mingyang Yi
frwk_51pwn is an open-sourced remote vulnerability testing and proof-of-concept development framework
frwk_51pwn Legal Disclaimer Usage of frwk_51pwn for attacking targets without prior mutual consent is illegal. frwk_51pwn is for security testing purp
Implementation of average- and worst-case robust flatness measures for adversarial training.
Relating Adversarially Robust Generalization to Flat Minima This repository contains code corresponding to the MLSys'21 paper: D. Stutz, M. Hein, B. S
This repo provides a demo for the CVPR 2021 paper "A Fourier-based Framework for Domain Generalization" on the PACS dataset.
FACT This repo provides a demo for the CVPR 2021 paper "A Fourier-based Framework for Domain Generalization" on the PACS dataset. To cite, please use:
This is the official implementation for the paper "Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization" in NeurIPS 2021.
MPMAB_BEACON This is code used for the paper "Decentralized Multi-player Multi-armed Bandits: Beyond Linear Reward Functions", Neurips 2021. Requireme
Concept Modeling: Topic Modeling on Images and Text
Concept is a technique that leverages CLIP and BERTopic-based techniques to perform Concept Modeling on images.
The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".
The HIST framework for stock trend forecasting The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining C
The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".
The HIST framework for stock trend forecasting The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining C
This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2021, Spotlight)
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization This codebase is the official implementation of Test-Time Classifier A
In Search of Probeable Generalization Measures
In Search of Probeable Generalization Measures Exciting News! In Search of Probeable Generalization Measures has been accepted to the International Co
A proof-of-concept CherryPy inspired Python micro framework
Varmkorv Varmkorv is a CherryPy inspired micro framework using Werkzeug. This is just a proof of concept. You are free to use it if you like, or find