Python Selection-box Resources

BoxeR By Duy-Kien Nguyen, Jihong Ju, Olaf Booij, Martin R. Oswald, Cees Snoek. This repository is an official implementation of the paper BoxeR: Box-A

93_Python_Data_Analytics_Projects This repository contains all the data analytics projects that I've worked on in python. No. Name 01 001_Cervical_Can

Amazon Brands and Exclusives This repository contains code to reproduce the findings featured in our story "Amazon Puts Its Own 'Brands' First Above B

SCALoss PyTorch implementation of the paper "SCALoss: Side and Corner Aligned Loss for Bounding Box Regression" (AAAI 2022). Introduction IoU-based lo

Black-Box-Defense This repository contains the code and models necessary to replicate the results of our recent paper: How to Robustify Black-Box ML M

Black-Box-Defense This repository contains the code and models necessary to replicate the results of our recent paper: How to Robustify Black-Box ML M

SelectionSortVisualization (If you have any comments or suggestion, please conta

Element selection for functional materials discovery by integrated machine learning of atomic contributions to properties 8.11.2021 Andrij Vasylenko I

Pruner for nested cross-validation - Sphinx-Doc Nested cross-validation is necessary to avoid biased model performance in embedded feature selection i

Source Code of AAAI22-2171 Introduction The source code includes training and inference procedures for the proposed method of the paper submitted to t

Anomaly-detection-Feature-Selection Evaluate on three different ML model for feature selection using Breast cancer data. ML models: SVM, KNN and MLP.

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains (ICLR'2022) This is the Pytorch code for our paper Beyond ImageNet

Box is a world simulator written in python with pygame. Features A world generation system A world editor Simulates creatures called boxlanders. You c

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains (ICLR'2022) This is the Pytorch code for our paper Beyond ImageNet

shap-hypetune A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models. Overview Hyperparameters t

kHTGui GUI to enable user selection of measurement and station in kHTConnector module. Helper tool for PowerBI users If you're planning to import data

This library is not an official library of twip. It was created to conveniently respond to events such as donation, follow, and hosting using the Alert Box provided by twip to streamers.

Product Recognition on Store Shelves Description You can read the task description here. Report You can read and download our report here. Step A - Mu

python-wipbox A set of modern Python libraries under development to simplify the execution of reusable routines by different projects. Table of Conten

Algo_Visualizer This project is an Algorithm Visualizer where a user can visualize common algorithms like "Bubble Sort", "Merge Sort", "Quick Sort", "

CIFS This repository provides codes for CIFS (ICML 2021). CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Sel

LA-MCTS The code is based of paper Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search. Component LA-MCTS has thr

Rotated Box Is Back : Accurate Box Proposal Network for Scene Text Detection This material is supplementray code for paper accepted in ICDAR 2021 We h

Box CRUD API: Consider a store which has an inventory of boxes which are all cuboid(which have length breadth and height). Each Cuboid has been added

Black-Box-Tuning Source code for paper "Black-Box Tuning for Language-Model-as-a-Service". Being busy recently, the code in this repo and this tutoria

Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition Introduction Run attack: SGADV.py Objective function: foolbox/attacks/gradi

JWT Key Confusion PoC (CVE-2015-9235) Written for the Hack the Box challenge - Under Construction This script performs a Java Web Token Key Confusion

Black-Box-Tuning Source code for paper "Black-Box Tuning for Language-Model-as-a

Drf-stripe-subscription - An out-of-box Django REST framework solution for payment and subscription management using Stripe

A webdav demo using a virtual filesystem that serves a random status of whether a cat in a box is dead or alive.

Perform semi automated exploratory data analysis, feature engineering and feature selection on provided dataset by visualizing every possibilities on each step and assisting the user to make a meaningful decision to achieve a low-bias and low-variance model.

Safe Control for Black-box Dynamical Systems via Neural Barrier Certificates Installation Clone the repository: git clone https://github.com/Zengyi-Qi

Log4jScanner Log4jScanner is a Log4j Related CVEs Scanner, Designed to Help Penetration Testers to Perform Black Box Testing on given subdomains. Disc

Gordo Building thousands of models with timeseries data to monitor systems. Table of content About Examples Install Uninstall Developer manual How to

Regularization and Feature Selection in Least Squares Temporal Difference Learning Description This is Python implementations of Least Angle Regressio

PySDM PySDM is a package for simulating the dynamics of population of particles. It is intended to serve as a building block for simulation systems mo

Keras implementation of Image OutPainting This is an implementation of Painting Outside the Box: Image Outpainting paper from Standford University. So

english | русский язык Software for quick purchase of mystery boxes on Binance. Purpose Installation & setup Motivation Specification Disclaimer Purpo

👨‍💻 mitm A customizable man-in-the-middle TCP proxy with out-of-the-box support for HTTP & HTTPS. Installing pip install mitm Note that OpenSSL 1.1

This Python program creates a relational SQL database hosted on the Snowflake platform, then opens a CRUD GUI to manipulate and view the data. In this application, it is used as a book catalogue. CURRENTLY WIP

An out-of-box Lua parser written in Lark Such parser handles a relaxed version o

Tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”.

50-days-of-Statistics-for-Data-Science - This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

Improving Object Detection by Estimating Bounding Box Quality Accurately Abstract Object detection aims to locate and classify object instances in ima

Retrieving Black-box Optimal Images from External Databases (WSDM 2022) We propose how a user retreives an optimal image from external databases of we

COResets and Data Subset selection Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order

Improving Object Detection by Estimating Bounding Box Quality Accurately Abstrac

Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR 2019) To make better use of given limited labels, we propo

typed-jsonrpc Out-of-box Python RPC framework. WIP. Make LSP easy for everyone. The conception of final usage: from typed_jsonrpc import * ls = Langu

Retroarch Cheat File Reducer Description Aides to reduce a cheat file with a personal selection of the cheats you want to use. Instructions Copy a sel

Splinterlands_Teams_Guide A tool to guide you for team selection based on mana and ruleset using your owned cards. Built With This project is built wi

pre-commit-hooks Some out-of-the-box hooks for pre-commit. See also: https://github.com/pre-commit/pre-commit Using pre-commit-hooks with pre-commit A

pyqt-horizontal-selection-square-graphics-view PyQt QGraphicsView with selection box. User can move vertical border of the box horizontally. Requireme

You can draw the corresponding bounding box into the image and save it according to the result file (txt format) run by the tracker.

HyperGBM Doc | 中文 We Are Hiring！ Dear folks,we are offering challenging opportunities located in Beijing for both professionals and students who are k

SelectionGAN for Guided Image-to-Image Translation CVPR Paper | Extended Paper | Guided-I2I-Translation-Papers Citation If you use this code for your

Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ

from box import Box movie_box = Box({ "Robin Hood: Men in Tights": { "imdb stars": 6.7, "length": 104 } }) movie_box.Robin_Hood_Men_in_Tights.imdb_s

weather-box - A GUI Weather Application written with Python Made with ❤️ by Suresh Mishra

Splinter This repository contains the code, models and datasets discussed in our paper "Few-Shot Question Answering by Pretraining Span Selection", to

DataSelection-NMT Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts Quick update: The paper got accepted o

Learning with Subset Stacking (LESS) LESS is a new supervised learning algorithm that is based on training many local estimators on subsets of a given

Deep Levelset for Box-supervised Instance Segmentation in Aerial Images Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu* Any questions or discussions ar

PyLabel pip install pylabel PyLabel is a Python package to help you prepare image datasets for computer vision models including PyTorch and YOLOv5. I

reapoc OpenSource Poc && Vulnerable-Target Storage Box. We are aming to collect different normalized poc and the vulerable target to verify it. Now re

Deep Levelset for Box-supervised Instance Segmentation in Aerial Images Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu* This code is based on MMdetecti

Patch-wise Adversarial Removal Implementation of paper "Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal

📝 Tabela de conteúdos Sobre Requisitos para rodar o projeto Instalação Rotas da API Observações 🧐 Sobre Projeto desenvolvido como parte de um proces

RL_toolbox all the algorithm is running on pycharm IDE, or the package loss error may exist. implemented algorithm: trpo a3c a3c:for continous action

Active Offline Policy Selection This is supporting example code for NeurIPS 2021 paper Active Offline Policy Selection by Ksenia Konyushkova*, Yutian

CP-Cluster Confidence Propagation Cluster aims to replace NMS-based methods as a better box fusion framework in 2D/3D Object detection, Instance Segme

Bayesian Optimization over Permutation Spaces This repository contains the source code and the resources related to the paper "Bayesian Optimization o

The Box Size Confidence Bias Harms Your Object Detector - Code Disclaimer: This repository is for research purposes only. It is designed to maintain r

Using djmongoauth What is it? djmongoauth provides out-of-the-box support for basic user management and additional operations including user registrat

colorbox Color box that provides various colors‘ rgb decimal code

Deep Thought An artificial intelligence based on 5-dimensional quantum selection. Algorithm The payload Make an random bit array (e.g. 1101...) Conver

Sort and search algorithms This repository has some common search / sort algorithms written in python, I also included the pseudocode of each algorith

The Box Size Confidence Bias Harms Your Object Detector - Code Disclaimer: This repository is for research purposes only. It is designed to maintain r

efficient-task-transfer This repository contains code for the experiments in our paper "What to Pre-Train on? Efficient Intermediate Task Selection".

BayesOpt-LV Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV) About This repository contains the s

Representer Point Selection via Local Jacobian Expansion for Classifier Explanation of Deep Neural Networks and Ensemble Models This repository is the

Data-Minimization-Auditor An auditing tool for model-instability based data minimization that is introduced in "Auditing Black-Box Prediction Models f

RecList RecList Free software: MIT license Documentation: https://reclist.readthedocs.io. Overview RecList is an open source library providing behavio

High-Dimensional Portfolio Selecton with Cardinality Constraints This repo contains code for perform proximal gradient descent to solve sample average

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.

Welcome to labelpix 👋 labelpix is a graphical image labeling interface for drawing bounding boxes. 🏠 Homepage Install pip install -r requirements.tx

BBOX Problem definition: The spatial data users often are required to obtain the coordinates of the minimum bounding box of vector and raster data in

Box_Discretization_Network This repository is built on the pytorch [maskrcnn_benchmark]. The method is the foundation of our ReCTs-competition method

ApproxMVBB Status Build UnitTests Homepage Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in

RecList is an open source library providing behavioral, "black-box" testing for recommender systems.

Feature Engineering & Feature Selection A comprehensive guide [pdf] [markdown] for Feature Engineering and Feature Selection, with implementations and

stability-selection - A scikit-learn compatible implementation of stability selection stability-selection is a Python implementation of the stability

linselect A fast, flexible, and performant feature selection package for python. Package in a nutshell It's built on stepwise linear regression When p

Codebase for "INVASE: Instance-wise Variable Selection" Authors: Jinsung Yoon, James Jordon, Mihaela van der Schaar Paper: Jinsung Yoon, James Jordon,

A method that utilized Generative Adversarial Network (GAN) to interpret the black-box deep image classifier models by PyTorch.

zeus is a Python implementation of the Ensemble Slice Sampling method. Fast & Robust Bayesian Inference, Efficient Markov Chain Monte Carlo (MCMC), Bl

ByteTrack-ONNX-Sample ByteTrack(Multi-Object Tracking by Associating Every Detection Box)のPythonでのONNX推論サンプルです。 ONNXに変換したモデルも同梱しています。 変換自体を試したい方はByteT

SAGA Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection Please refer to the Jupyter notebook (Example.ipynb) for an example of using t

Time2box Implementation of [Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes].

This repository contains the codebase for the paper Continual Learning via Local Module Composition. Setting up the environemnt Create a new conda env