Search Results for "regression" - Page 3
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Showing 150 open source projects for "regression"
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Phoronix Test Suite
Open-Source, Automated Benchmarking
The Phoronix Test Suite is the most comprehensive testing and benchmarking platform available that provides an extensible framework for which new tests can be easily added. The Phoronix Test Suite is designed to effectively carry out both benchmarks in a clean, reproducible, and easy-to-use manner. -
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pyTorch Tutorials
Build your neural network easy and fast
...It covers the fundamentals of PyTorch from basic tensor operations to constructing full neural network models, making it suitable for beginners and intermediate learners alike. The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. ... -
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Statistical Rethinking 2022
Statistical Rethinking course winter 2022
...The code emphasizes Bayesian data analysis using R, the rethinking package, and Stan models. It includes lecture code files, example datasets, and structured exercises that parallel the topics covered in the lectures (probability, regression, model comparison, Bayesian updating). The repo functions as a direct hands-on reference for students following the 2022 recorded lecture series. There are 10 weeks of instruction. Links to lecture recordings will appear in this table. Weekly problem sets are assigned on Fridays and due the next Friday, when we discuss the solutions in the weekly online meeting. -
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CSS Critic
Lightweight CSS regression testing
A lightweight tool for regression testing of Cascading Style Sheets. Your web stack should be fully testable. CSS Critic closes the gap in front-end testing and makes HTML & CSS testable - no more broken UI. For example, make it supervise changes to your project's responsive style guide so you know things are looking good. We believe that your UI will change often enough that a lightweight process on managing changes (near instant feedback, anyone?) -
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DB driven applications test driver
A JDBC proxy driver for the recording and replay of database access
JDBC proxy driver to support the development and testing of database driven applications. In record mode, the driver records all data requested from the database layer in files. These files replace the database connection when switching to replay mode. -
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Cypress Image Snapshot
Catch visual regressions in Cypress
Cypress Image Snapshot binds jest-image-snapshot's image diffing logic to Cypress.io commands. The goal is to catch visual regressions during integration tests. -
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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My Test Case Manager
A lean, flexible XL test case manager for small to midsize projects
...Run results are tallied and graphed on subsequent worksheets. You use the report and graphs to communicate status to your project team. Show them how test cycles work, how test cases are built up over time, how regression testing works with each new build received, how risk is managed from build test to build test, etc. See GitHub link for documentation, larger template, and "source code" (it's a codeless XLSX file). Requires Excel for Office 365. GitHub: https://github.com/DataResearchLabs/my_test_case_manager YouTube Tutorials: https://www.youtube.com/playlist?... -
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Frontend Regression Validator (FRED)
Visual regression tool used to compare baseline and updated instances
Visual regression tool used to compare baseline and updated instances of a website in a deployment pipeline. FRED is an opensource visual regression tool used to compare two instances of a website. FRED is responsible for automatic visual regression testing, with the purpose of ensuring that functionality is not broken by comparing a current(baseline) and an updated version of a website. -
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Zipline
Zipline, a Pythonic algorithmic trading library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python... -
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AyeSpy
A performant visual regression testing tool
Aye Spy is a high-performance visual regression tool to catch UI regressions. Aye Spy takes inspiration from existing projects such as Wraith and BackstopJs. We have found visual regression testing to be one of the most effective ways to catch regressions. It's a great tool to have in your pipeline, but the current solutions on the market were missing one key component we felt was essential for a great developer experience performance. -
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CloudTest-Cloud java unit test framework
A redefined framework with new approach and methodology for unit test
CloudTest is a redefined unit testing approach and methodology, which can make your testing jobs become much more easy and efficient. It is a pure java lightweight framework integrated test cases management, test data management, assert management, automation regression, performance monitor and test report in one. -
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AdaNet
Fast and flexible AutoML with learning guarantees
...At each iteration, it measures the ensemble loss for each candidate, and selects the best one to move onto the next iteration. Adaptive neural architecture search and ensemble learning in a single train call. Regression, binary and multi-class classification, and multi-head task support. A tf.estimator.Estimator API for training, evaluation, prediction, and serving models. -
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os-autoinst
OS-level test automation
os-autoinst is a testing framework that enables automated testing of operating systems and applications. It is particularly useful for testing installation processes and system configurations, allowing for comprehensive validation of software behavior in various scenarios. -
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Differencify
Differencify is a library for visual regression testing
Differencify is a library for visual regression testing via comparing your local changes with reference screenshots of your website. It is built on top of chrome headless using Puppeteer. -
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Vim colorschemes
One colorscheme pack to rule them all!
This repository is a large collection of classic and modern Vim color schemes aggregated in one place. Instead of hunting down dozens of separate repos, you can install this bundle and instantly try many popular themes. It is useful for quickly auditioning palettes, testing readability, and finding a scheme that matches your terminal and font. The project organizes color files in a predictable structure so :colorscheme just works. Because it is a collection, it includes both minimalist... -
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The Neural Process Family
This repository contains notebook implementations
...They can learn distributions over functions from data and efficiently make predictions at new inputs with calibrated uncertainty — making them useful for few-shot learning, Bayesian regression, and meta-learning. Each notebook includes theoretical explanations, key building blocks, and executable code that runs directly in Google Colab, requiring no local setup. Implementations rely only on standard dependencies such as NumPy, TensorFlow, and Matplotlib, and provide visualizations of model performance. -
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Page Monitor
capture webpage and diff the dom change with phantomjs
...It exposes a Monitor API with methods for capturing pages and manually comparing two saved states. Overall, it is a practical utility for developers who need automated webpage change detection, regression checks, or historical DOM comparison. -
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MLBox
MLBox is a powerful Automated Machine Learning python library
...Highly robust feature selection and leak detection. Accurate hyper-parameter optimization in high-dimensional space. State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...) Prediction with model interpretation. MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone. -
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benchm-ml
A benchmark of commonly used open source implementations
...It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different implementations. The benchmarks cover algorithms like logistic regression, random forest, gradient boosting, and deep neural networks, and they compare across toolkits such as scikit-learn, R packages, xgboost, H2O, Spark MLlib, etc. The repository is structured in logical folders, each corresponding to algorithm categories. -
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Wraith
A responsive screenshot comparison tool
Wraith is a screenshot comparison tool, created by developers at BBC News. Wraith uses a headless browser to create screenshots of webpages on different environments (or at different moments in time) and then creates a diff of the two images; the affected areas are highlighted in blue. There are two main modes for using Wraith, 'capture' mode and 'history' mode. Wraith has some built-in JavaScript and configuration file templates for you to get started with right away. If you wish to take... -
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Nightwatch VRT
Visual Regression Testing tools for nightwatch.js
Nightwatch Visual Regression Testing tools for nightwatch.js. Nightwatch VRT extends nightwatch.js with an assertion that captures a screenshot of a DOM element identified by a selector and compares the screenshot against a baseline screenshot. If the baseline screenshot does not exist, it will be created the first time you run the test and the assertion will pass. -
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Active Learning
Framework and examples for active learning with machine learning model
...It includes several established active learning strategies such as uncertainty sampling, k-center greedy selection, and bandit-based methods, while also allowing for custom algorithm implementations. The framework integrates with both classical machine learning models (SVM, logistic regression) and neural networks. -
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BackstopJS
Catch CSS curve balls
Visual regression testing for web apps. Supports screen rendering with Chrome-headless. Add your own interactions with the Playwright and Puppeteer scripting. BackstopJS automates visual regression testing of your responsive web UI by comparing DOM screenshots over time. -
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Acceptance/regression testing framework based on full screen automation (via terminal emulation) with integrated unit testing engine (standard Ruby test/unit). Moved to: https://github.com/tsc-collection/tsc-act Now part of GitHub's TSC Collection available at https://github.com/tsc-collection
