Python Regression-testing Resources

RNN 01- RNN_Classification Simple RNN training for classification task of 3 signal: Sine, Square, Triangle. 02- RNN_Regression Simple RNN training for

Deliver ML products, better & faster Giskard is an Open-Source CI/CD platform for ML teams. Inspect ML models visually from your Python notebook 📗 Re

Balanced MSE Code for the paper: Balanced MSE for Imbalanced Visual Regression Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Ziwei Liu CVPR 2022 (Oral) News

DEEP LEARNING FOR CODERS WITH FASTAI AND PYTORCH The repository contains a list of the projects which I have worked on while reading the book Deep Lea

M1, M1 Pro, M1 Max Machine Learning Speed Test Comparison This repo contains some sample code to benchmark the new M1 MacBooks (M1 Pro and M1 Max) aga

👏 Pre- requisites to Machine Learning

NIVOS is a hacking tool that allows you to scan deeply , crack wifi, see people on your network. It applies to all linux operating systems. And it is improving every day, new packages are added. Thank You For Using NIVOS : [NIVOS Created By NIVO Team]

💎A high level pipeline for face landmarks detection, supports training, evaluating, exporting, inference and 100+ data augmentations, compatible with torchvision and albumentations, can easily install with pip.

diskspace-monitor-CRUD Background The build system is part of a large environment with a multitude of different components. Many of the components hav

Machine Learning With Python Get started with Machine Learning with Python An engaging introduction to Machine Learning with Python TL;DR Download all

Doing dirty (but extremely useful) things with equals. Documentation: dirty-equals.helpmanual.io Source Code: github.com/samuelcolvin/dirty-equals dir

Effective Testing for Machine Learning Projects Code for PyData Global 2021 Presentation by @edublancas. Slides available here. The project is develop

RedTeam Toolkit Note: Only legal activities should be conducted with this project. Red Team Toolkit is an Open-Source Django Offensive Web-App contain

Eigenlearning This repo contains code for replicating the experiments of the paper A Theory of the Inductive Bias and Generalization of Kernel Regress

Vortex VPN Overall Reconnaissance, Testing, Enumeration and Exploitation Toolkit Overview A very simple Python framework, inspired by SprayingToolkit,

DOME - A subdomain enumeration tool Check the Spanish Version Dome is a fast and reliable python script that makes active and/or passive scan to obtai

EV1L J3ST3R An automated scanning, enumeration, and note taking tool Created by S1n1st3r Meant to help easily go through Hack The Box machine and TryH

Semi-automated OpenVINO benchmark_app with variable parameters. User can specify multiple options for any parameters in the benchmark_app and the progam runs the benchmark with all combinations of given options.

HandLer This repository contains the code and data for the following paper: Forward Propagation, Backward Regression, and Pose Association for Hand Tr

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

RL - EmsPy (work In Progress...) The EmsPy Python package was made to facilitate Reinforcement Learning (RL) algorithm research for developing and tes

Dark Finix - Hacking Framework. Dark Finix is a all in one hacking framework wit

Regression Free Model Update Code for the paper: Regression Bugs Are In Your Mod

Static test playground ⚠️ The code is just an experiment. Compiles and runs on U

Vaex-Big-Data-Analytics-for-Airline-data A Python notebook (ipynb) created in Jupyter Notebook, which utilizes the Vaex library for Big Data Analytics

Cormen Lib Sample Problems Description This repository contnains sample problems with test cases using Cormen-Lib. These problems were made for the pu

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

Disclaimer This tool is for Educational purpose only. We do not promote or encourage any illegal activities. Summary These are Simple python scripts t

PacketPy About PacketPy is an open-source solution for stress testing network devices using different testing methods. Currently, there are only two c

Cement-Strength-Prediction Problem Statement To build a regression model to predict the concrete compressive strength based on the different features

Energy_Output_Predictor Artificial Neural network regression model to predict the energy output in a combined cycle power plant. Abstract Energy outpu

The demo is aimed at getting started with load testing a microservice before taking it to production. We use FastAPI microservice (to predict weather) and Locust to load test the service (locally or on cloud). You can find detailed instructions in the Engineering MLOps book.

Regression Transformer Codebase to experiment with a hybrid Transformer that combines conditional sequence generation with regression . Development se

Features Enumerate vhosts from a list of IP addresses and domain names. Virtual Hosts are enumerated using the following process: Supplied domains are

Multiple-Linear-Regression-master - A python program to implement Multiple Linear Regression using the LinearRegression class from sklearn.linear model library

Intro-to-Data-Science Conducted ANOVA and Logistic regression analysis. Project ANOVA The main aim of this project is to perform One-Way ANOVA analysi

This machine learning model was developed for House Prices - Advanced Regression Techniques competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc). Structured a custom ensemble model and a neural network. Found a outperformed model for heart failure prediction accuracy of 88 percent.

Helperpod is a CLI tool to run a Kubernetes utility pod with pre-installed tools that can be used for debugging/testing purposes inside a Kubernetes cluster.

Mock smart contracts for writing Ethereum test suites This package contains comm

Evaluation framework for testing segmentation networks in PyTorch. What segmentation network to choose for next Kaggle competition? This benchmark knows the answer!

Robox is a simple library with a clean interface for exploring/scraping the web or testing a website you’re developing. Robox can fetch a page, click on links and buttons, and fill out and submit forms.

Logistic Regression Advanced Case Study Gender Classification: Predicting a person's gender based on their weight and height 1. Introduction We turn o

Using Logistic Regression and classifiers of the dataset to produce an accurate recall, f-1 and precision score

[ICLR 2022] Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity by Shiwei Liu, Tianlong Chen, Zahra Atashgahi, Xiaohan Chen, Ghada Sokar, Elena Mocanu, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu

Pytest plugin to fail a test if it leaves modified os.environ afterwards.

User-centered Regression An Approach to Explore Logistic Regression Models This tool applies the potential of Attribute-RadViz in identifying correlat

The purpose of this project is create a predictive model capable of identifying the probability of a person securing an admit based on their personal profile parameters. Simplified visualisations have been created for understanding the data. 80% accuracy was achieved on the test set.

Simple-DMA a simple Dual Memory Architecture for classifications. based on the paper Dual-Memory Deep Learning Architectures for Lifelong Learning of

Hitters_Linear_Regression Kullanacağımız veri seti Carnegie Mellon Üniversitesi'

Ab testing - basically a statistical test in which two or more variants

Python_Projects Few Python projects : Fast_API_Docker_PyTest- Just a simple auto

MainCoon is an automated recon framework meant for gathering information during penetration testing of web applications.

Atomkraft End-to-end testing of Cosmos blockchains should be easy and reproducib

Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led

ML_Model_implementaion Implementation of ML models like Decision tree, Naive Bayes, Logistic Regression and many other dectree_model: Implementation o

Python dilinin Selenium kütüphanesini kullanarak; Amazon, LinkedIn ve ÇiçekSepeti üzerinde test işlemleri yaptığımız bir case study reposudur. LinkedI

bayesian_testing is a small package for a quick evaluation of A/B (or A/B/C/...) tests using Bayesian approach.

Facebook recently introduced a new type of offer that is an alternative to the current type of bidding called maximum bidding he introduced average bidding.

Recipe Sharing API This is the backend API for the recipe sharing platform at https://mesob-recipe.netlify.app/ This API allows users to share recipes

Node-level Graph Regression with Deep Gaussian Process Models Prerequests our implementation is mainly based on tensorflow 1.x and gpflow 1.x: python

SimReg: A Simple Regression Based Framework for Self-supervised Knowledge Distillation Source code for the paper "SimReg: Regression as a Simple Yet E

VCC-Generator is a python script that generate VCC for testing purposes only

testing-crud-login-drf Creation of an application in django on music albums Befo

Sentiment-Analysis and EDA on the IMDB Movie Review Dataset The main part of the work focuses on the exploration and study of different approaches whi

To Design and Implement Logistic Regression to Classify Between Benign and Malignant Cancer Types, from a Database Taken From Dr. Wolberg reports his Clinic Cases.

Python Machine Learning Jupyter Notebooks (ML website) Dr. Tirthajyoti Sarkar, Fremont, California (Please feel free to connect on LinkedIn here) Also

minutaria minutaria is a basic educational Python timer. The project is educational, it aims to teach myself programming, python programming, python's

Dumda Python Library to get fast extensive Dummy Data for testing https://pypi.org/project/dumda/ Installation pip install dumda Usage: Cities from d

Naming origin Well, naming things is very hard. Thankfully we have an excellent

tisane Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships TL;DR: Analysts can use Tisane to author gener

Great Expectations Always know what to expect from your data. Introduction Great Expectations helps data teams eliminate pipeline debt, through data t

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

🎉TensorFlow2.0-Examples🎉! "Talk is cheap, show me the code." ----- Linus Torvalds Created by YunYang1994 This tutorial was designed for easily divin

SMTPDFix: Test email, locally A simple SMTP server based on aiosmtpd for use as a fixture with pytest that supports encryption and authentication. All

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

Deep learning for time series forecasting Flow forecast is an open-source deep learning for time series forecasting framework. It provides all the lat

What is survival analysis and why should I learn it? Survival analysis was originally developed and applied heavily by the actuarial and medical commu

CheckList This repository contains code for testing NLP Models as described in the following paper: Beyond Accuracy: Behavioral Testing of NLP models

DAT8 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (8/18/15 - 10/29/15). Instructor: Kevin Markham (

data-services A repository for storing various Data Engineering docker-compose files in one place. How to use it ? Set the required settings in .env f

TODOs Reference to published paper or online version of it loadtest_plotter.py: Cleanup and reading data from files ARS_simulation.py: Cleanup, docume

Bayesian Neural Networks Pytorch implementations for the following approximate inference methods: Bayes by Backprop Bayes by Backprop + Local Reparame

AlexNet training on ImageNet LSVRC 2012 This repository contains an implementation of AlexNet convolutional neural network and its training and testin

CrossHair An analysis tool for Python that blurs the line between testing and type systems. THE LATEST NEWS: Check out the new crosshair cover command

Kent is a service for debugging and integration testing Sentry.

Masked Regression MR - Python Implementation This repositery provides a python implementation of MR (Masked Regression). MR can efficiently synthesize

Project 2 - Ames Housing Data and Kaggle Challenge PROBLEM STATEMENT Inferring or Predicting? What's more valuable for a housing model? When creating

System Usability Scale Analysis Toolkit The System Usability Scale (SUS) Analysis Toolkit is a web-based python application that provides a compilatio

Pytest python example with automated testing This is a minimal viable example of pytest with an automated run of tests for every push/merge into the m

LinearRegression2_Tvads_and_CarSales This project infers the insight that how the TV ads for cars and car Sales are being linked with each other. It i

Price-Prediction-For-a-Dream-Home ROADMAP TO THIS LINEAR REGRESSION BASED HOUSE PRICE PREDICTION PREDICTION MODEL Import all the dependencies of the p

Image-popularity-score - A novel deep regression method for image scoring.

Constrained Logistic Regression Sample implementation of constructing a logistic regression with given ranges on each of the feature's coefficients (v

Faza terminal simple tool for pen testers Use small letter only for commands Don't use space after command 'help' for more information Installation gi

CIFAR-10_train-test - training and testing codes for dataset CIFAR-10

Solar-radiation-ISB-MLOps - Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan.

Flybird | English Version 行为驱动开发（Behavior-driven development，缩写BDD），是一种软件过程的思想或者

pytorch-minimal-gaussian-process In search of truth, simplicity is needed. There exist heavy-weighted libraries, but as you know, we need to go bare b

Semi-supervised Deep Kernel Learning This is the code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data