335 Repositories
Python statistical-significance-test Libraries
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
PyImpetus PyImpetus is a Markov Blanket based feature selection algorithm that selects a subset of features by considering their performance both indi
It's a simple tool for test vulnerability Apache Path Traversal
SimplesApachePathTraversal Simples Apache Path Traversal It's a simple tool for test vulnerability Apache Path Traversal https://blog.mrcl0wn.com/2021
Given some test cases, this program automatically queries the oracle and tests your Cshanty compiler!
The Diviner A complement to The Oracle for compilers class. Given some test cases, this program automatically queries the oracle and tests your compil
statDistros is a Python library for dealing with various statistical distributions
StatisticalDistributions statDistros statDistros is a Python library for dealing with various statistical distributions. Now it provides various stati
Pytorch and Torch testing code of CartoonGAN
CartoonGAN-Test-Pytorch-Torch Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]. With the released pretrained models by the authors,
Scalable implementation of Lee / Mykland (2012) and Ait-Sahalia / Jacod (2012) Jump tests for noisy high frequency data
JumpDetectR Name of QuantLet : JumpDetectR Published in : 'To be published as "Jump dynamics in high frequency crypto markets"' Description : 'Scala
Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
TestRank in Pytorch Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks by Yu Li, Min Li, Qiuxia Lai, Ya
API for obtaining results from the Beery-Bukenica test of the visomotor integration development (VMI) 4th edition.
VMI API API for obtaining results from the Beery-Bukenica test of the visomotor integration development (VMI) 4th edition. Install docker-compose up -
Test reproducibility of leiden/umap on different systems
Demonstrate that UMAP and Leiden analysis is not reproducible between different cpu architectures.
Implementation of "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".
DeepOrder Implementation of DeepOrder for the paper "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing". Project
this is demo of tool dosploit for test and dos in network with python
this tool for dos and pentest vul SKILLS: syn flood udp flood $ git clone https://github.com/amicheh/demo_dosploit/ $ cd demo_dosploit $ python3 -m pi
Statistical Analysis 📈 focused on statistical analysis and exploration used on various data sets for personal and professional projects.
Statistical Analysis 📈 This repository focuses on statistical analysis and the exploration used on various data sets for personal and professional pr
This repository contains the files for running the Patchify GUI.
Repository Name Train-Test-Validation-Dataset-Generation App Name Patchify Description This app is designed for crop images and creating smal
A test Django application with production-level docker setup
DockerApp A test Django application with production-level docker setup. Blog: https://medium.com/@siddharth.sahu/the-near-perfect-dockerfile-for-djang
Python desktop application to create, distribute, discover, and run codegames
Python desktop application to create, distribute, discover, and run codegames
GitGoat enables DevOps and Engineering teams to test security products intending to integrate with GitHub
GitGoat is an open source tool that was built to enable DevOps and Engineering teams to design and implement a sustainable misconfiguration prevention strategy. It can be used to test with products with access to GitHub repositories without a risk to your production environment.
Get a Django app up and running in dev, test, and production with best practices in 10 minutes
Django template for Docker + Heroku This is how I set up Django projects to get up and running as quick as possible. In includes a few neat things: De
LeafSnap replicated using deep neural networks to test accuracy compared to traditional computer vision methods.
Deep-Leafsnap Convolutional Neural Networks have become largely popular in image tasks such as image classification recently largely due to to Krizhev
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example o
Faker is a Python package that generates fake data for you.
Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in yo
Test utility for validating OpenAPI documentation
DRF OpenAPI Tester This is a test utility to validate DRF Test Responses against OpenAPI 2 and 3 schema. It has built-in support for: OpenAPI 2/3 yaml
Demonstration that AWS IAM policy evaluation docs are incorrect
The flowchart from the AWS IAM policy evaluation documentation page, as of 2021-09-12, and dating back to at least 2018-12-27, is the following: The f
Klara is a static analysis tools to automatic generate test case, based on SMT (z3) solver, with a powerful ast level inference system.
Automatic test case generation for python and static analysis library
This reporistory contains the test-dev data of the paper "xGQA: Cross-lingual Visual Question Answering".
This reporistory contains the test-dev data of the paper "xGQA: Cross-lingual Visual Question Answering".
This is a project for socks card label validation where the socks card is validated comparing with the correct socks card whose coordinates are stored in the database. When the test socks card is compared with the correct socks card(master socks card) the software checks whether both test and master socks card mathches or not.
Automation_in_socks_label_validation THEME: MACHINE LEARNING This is a project for socks card label validation where the socks card is validated compa
Official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.
This repository is the official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.
pytest-django allows you to test your Django project/applications with the pytest testing tool.
pytest-django allows you to test your Django project/applications with the pytest testing tool.
Cockpit is a visual and statistical debugger specifically designed for deep learning.
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models." (Gutmann and Hyvarinen, AISTATS 2010)
Noise Contrastive Estimation for pyTorch Overview This repository contains a re-implementation of the Noise Contrastive Estimation algorithm, implemen
Generate a bunch of malicious pdf files with phone-home functionality. Can be used with Burp Collaborator
Malicious PDF Generator ☠️ Generate ten different malicious pdf files with phone-home functionality. Can be used with Burp Collaborator. Used for pene
Django-google-optimize is a Django application designed to make running server side Google Optimize A/B tests easy.
Django-google-optimize Django-google-optimize is a Django application designed to make running Google Optimize A/B tests easy. Here is a tutorial on t
Test utility for validating OpenAPI documentation
DRF OpenAPI Tester This is a test utility to validate DRF Test Responses against OpenAPI 2 and 3 schema. It has built-in support for: OpenAPI 2/3 yaml
Test django schema and data migrations, including migrations' order and best practices.
django-test-migrations Features Allows to test django schema and data migrations Allows to test both forward and rollback migrations Allows to test th
Tiny Kinetics-400 for test
Kinetics-400迷你数据集 English | 简体中文 该数据集旨在解决的问题:参照Kinetics-400数据格式,训练基于自己数据的视频理解模型。 数据集介绍 Kinetics-400是视频领域benchmark常用数据集,详细介绍可以参考其官方网站Kinetics。整个数据集包含40
Pandas and Dask test helper methods with beautiful error messages.
beavis Pandas and Dask test helper methods with beautiful error messages. test helpers These test helper methods are meant to be used in test suites.
This is a simple backtesting framework to help you test your crypto currency trading. It includes a way to download and store historical crypto data and to execute a trading strategy.
You can use this simple crypto backtesting script to ensure your trading strategy is successful Minimal setup required and works well with static TP a
Test to grab m3u from YouTube live.
YouTube_to_m3u https://raw.githubusercontent.com/benmoose39/YouTube_to_m3u/main/youtube.m3u Updated m3u links of YouTube live channels, auto-updated e
QueryFuzz implements a metamorphic testing approach to test Datalog engines.
Datalog is a popular query language with applications in several domains. Like any complex piece of software, Datalog engines may contain bugs. The mo
This repository contains a testing script for nmigen-boards that tries to build blinky for all the platforms provided by nmigen-boards.
Introduction This repository contains a testing script for nmigen-boards that tries to build blinky for all the platforms provided by nmigen-boards.
AllPairs is an open source test combinations generator written in Python
AllPairs is an open source test combinations generator written in Python
Pynguin, The PYthoN General UnIt Test geNerator is a test-generation tool for Python
Pynguin, the PYthoN General UnIt test geNerator, is a tool that allows developers to generate unit tests automatically.
Code to run experiments in SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression.
Code to run experiments in SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression. Not an official Google product. Me
pytest plugin for a better developer experience when working with the PyTorch test suite
pytest-pytorch What is it? pytest-pytorch is a lightweight pytest-plugin that enhances the developer experience when working with the PyTorch test sui
Ward is a modern test framework for Python with a focus on productivity and readability.
Ward is a modern test framework for Python with a focus on productivity and readability.
Statsmodels: statistical modeling and econometrics in Python
About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning focusing on advanced Markov chain Monte Carlo (MCMC) an
Invert and perturb GAN images for test-time ensembling
Invert and perturb GAN images for test-time ensembling
Invert and perturb GAN images for test-time ensembling
GAN Ensembling Project Page | Paper | Bibtex Ensembling with Deep Generative Views. Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhan
Just a small test with lists in cython
Test for lists in cython Algorithm create a list of 10^4 lists each with 10^4 floats values (namely: 0.1) - 2 nested for iterate each list and compute
ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization
⛺️ Tent: Fully Test-Time Adaptation by Entropy Minimization This is the official project repository for Tent: Fully-Test Time Adaptation by Entropy Mi
Use deep learning, genetic programming and other methods to predict stock and market movements
StockPredictions Use classic tricks, neural networks, deep learning, genetic programming and other methods to predict stock and market movements. Both
Scalable, event-driven, deep-learning-friendly backtesting library
...Minimizing the mean square error on future experience. - Richard S. Sutton BTGym Scalable event-driven RL-friendly backtesting library. Build on
Platform for building statistical models of cities and regions
UrbanSim UrbanSim is a platform for building statistical models of cities and regions. These models help forecast long-range patterns in real estate d
This is our ARTS test set, an enriched test set to probe Aspect Robustness of ABSA.
This is the repository for our 2020 paper "Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis". Data We provide
《Train in Germany, Test in The USA: Making 3D Object Detectors Generalize》(CVPR 2020)
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize This paper has been accpeted by Conference on Computer Vision and Pattern Rec
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline!
LocalStack - A fully functional local AWS cloud stack LocalStack provides an easy-to-use test/mocking framework for developing Cloud applications. Cur
Enabling easy statistical significance testing for deep neural networks.
deep-significance: Easy and Better Significance Testing for Deep Neural Networks Contents ⁉️ Why 📥 Installation 🔖 Examples Intermezzo: Almost Stocha
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
PyStan PyStan is a Python interface to Stan, a package for Bayesian inference. Stan® is a state-of-the-art platform for statistical modeling and high-
Statistical package in Python based on Pandas
Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. F
Describing statistical models in Python using symbolic formulas
Patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design mat
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.
pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit
Probabilistic reasoning and statistical analysis in TensorFlow
TensorFlow Probability TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFl
PyTorch extensions for fast R&D prototyping and Kaggle farming
Pytorch-toolbelt A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming: What
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se
This repository provides train&test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.
SCUT-CTW1500 Datasets We have updated annotations for both train and test set. Train: 1000 images [images][annos] Additional point annotation for each
Implementation of Kalman Filter in Python
Kalman Filter in Python This is a basic example of how Kalman filter works in Python. I do plan on refactoring and expanding this repo in the future.
a test times augmentation toolkit based on paddle2.0.
Patta Image Test Time Augmentation with Paddle2.0! Input | # input batch of images / / /|\ \ \ # apply
Django project starter on steroids: quickly create a Django app AND generate source code for data models + REST/GraphQL APIs (the generated code is auto-linted and has 100% test coverage).
Create Django App 💛 We're a Django project starter on steroids! One-line command to create a Django app with all the dependencies auto-installed AND
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
scikit-posthocs is a Python package that provides post hoc tests for pairwise multiple comparisons that are usually performed in statistical data anal
Probabilistic Programming and Statistical Inference in PyTorch
PtStat Probabilistic Programming and Statistical Inference in PyTorch. Introduction This project is being developed during my time at Cogent Labs. The
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
PyStan NOTE: This documentation describes a BETA release of PyStan 3. PyStan is a Python interface to Stan, a package for Bayesian inference. Stan® is
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
Prodmodel is a build system for data science pipelines. Users, testers, contributors are welcome! Motivation · Concepts · Installation · Usage · Contr
Module for statistical learning, with a particular emphasis on time-dependent modelling
Operating system Build Status Linux/Mac Windows tick tick is a Python 3 module for statistical learning, with a particular emphasis on time-dependent
test
Lidar-data-decode In this project, you can decode your lidar data frame(pcap file) and make your own datasets(test dataset) in Windows without any hug
A set of pytest fixtures to test Flask applications
pytest-flask An extension of pytest test runner which provides a set of useful tools to simplify testing and development of the Flask extensions and a
An open-source plotting library for statistical data.
Lets-Plot Lets-Plot is an open-source plotting library for statistical data. It is implemented using the Kotlin programming language. The design of Le
Declarative statistical visualization library for Python
Altair http://altair-viz.github.io Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understa
Statistical data visualization using matplotlib
seaborn: statistical data visualization Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing
the code used for the preprint Embedding-based Instance Segmentation of Microscopy Images.
EmbedSeg Introduction This repository hosts the version of the code used for the preprint Embedding-based Instance Segmentation of Microscopy Images.
RAT-el is an open source penetration test tool that allows you to take control of a windows machine.
To prevent RATel from being detected by antivirus, please do not upload the payload to TOTAL VIRUS. Each month I will test myself if the payload gets detected by antivirus. So you’ll have a photo every month to prove RAtel’s discretion.
An open-source plotting library for statistical data.
Lets-Plot Lets-Plot is an open-source plotting library for statistical data. It is implemented using the Kotlin programming language. The design of Le
Declarative statistical visualization library for Python
Altair http://altair-viz.github.io Altair is a declarative statistical visualization library for Python. With Altair, you can spend more time understa
Statistical data visualization using matplotlib
seaborn: statistical data visualization Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing
Statsmodels: statistical modeling and econometrics in Python
About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an
Was an interactive continuous Python profiler.
☠ This project is not maintained anymore. We highly recommend switching to py-spy which provides better performance and usability. Profiling The profi
pytest plugin that let you automate actions and assertions with test metrics reporting executing plain YAML files
pytest-play pytest-play is a codeless, generic, pluggable and extensible automation tool, not necessarily test automation only, based on the fantastic
pytest plugin for manipulating test data directories and files
pytest-datadir pytest plugin for manipulating test data directories and files. Usage pytest-datadir will look up for a directory with the name of your
Local continuous test runner with pytest and watchdog.
pytest-watch -- Continuous pytest runner pytest-watch a zero-config CLI tool that runs pytest, and re-runs it when a file in your project changes. It
It helps to use fixtures in pytest.mark.parametrize
pytest-lazy-fixture Use your fixtures in @pytest.mark.parametrize. Installation pip install pytest-lazy-fixture Usage import pytest @pytest.fixture(p
Selects tests affected by changed files. Continous test runner when used with pytest-watch.
This is a pytest plug-in which automatically selects and re-executes only tests affected by recent changes. How is this possible in dynamic language l
Testinfra test your infrastructures
Testinfra test your infrastructure Latest documentation: https://testinfra.readthedocs.io/en/latest About With Testinfra you can write unit tests in P
Python wrapper of Android uiautomator test tool.
uiautomator This module is a Python wrapper of Android uiautomator testing framework. It works on Android 4.1+ (API Level 16~30) simply with Android d
Flexible test automation for Python
Nox - Flexible test automation for Python nox is a command-line tool that automates testing in multiple Python environments, similar to tox. Unlike to
a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)
pytest-sugar pytest-sugar is a plugin for pytest that shows failures and errors instantly and shows a progress bar. Requirements You will need the fol
py.test fixture for benchmarking code
Overview docs tests package A pytest fixture for benchmarking code. It will group the tests into rounds that are calibrated to the chosen timer. See c
BDD library for the py.test runner
BDD library for the py.test runner pytest-bdd implements a subset of the Gherkin language to enable automating project requirements testing and to fac
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing for applications and libraries. An example o
:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
THE PROJECT IS ARCHIVED Forks: https://github.com/orsinium/forks DepHell -- project management for Python. Why it is better than all other tools: Form
Plug and play continuous integration with django and jenkins
django-jenkins Plug and play continuous integration with Django and Jenkins Installation From PyPI: $ pip install django-jenkins Or by downloading th