Search Results for "code coverage" - Page 9
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Showing 280 open source projects for "code coverage"
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Icons8 Line Awesome
Replace Font Awesome with modern line icons
Replace Font Awesome with modern line icons. Swap Font Awesome for modern line icons in one line of code. Line Awesome is a free alternative for Font Awesome 5.11.2. It consists of ~1380 flat icons that offer complete coverage of the main Font Awesome icon set. This icon font is based off of the Icons8 Windows 10 style, which consists of over 4,000 icons, so be sure to check that out if you need more specific icons. The icon can have 3 styles: regular, solid or brand. ... -
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Machine Learning From Scratch
Bare bones NumPy implementations of machine learning models
ML-From-Scratch is an open-source machine learning project that demonstrates how to implement common machine learning algorithms using only basic Python and NumPy rather than relying on high-level frameworks. The goal of the project is to help learners understand how machine learning algorithms work internally by building them step by step from fundamental mathematical operations. The repository includes implementations of algorithms ranging from simple models such as linear regression and... -
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Java Tutorial For Beginners
Java Tutorial For Beginners with 500 Code Examples
Java Tutorial for Beginners is a structured educational repository designed to introduce fundamental Java programming concepts through practical examples and guided exercises. It walks learners step by step through core topics such as variables, control structures, object-oriented programming, and basic application development. The content is organized to build understanding progressively, making it accessible for those with little or no prior programming experience. It emphasizes hands-on... -
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Didact
A DIY guide to build your own React
Didact is an educational JavaScript project that teaches developers how to build a small React-like library from scratch. It accompanies a series of explanatory posts that break down React concepts step by step. The project covers rendering DOM elements, element creation, JSX, virtual DOM behavior, reconciliation, components, state, Fiber-style incremental reconciliation, and hooks. Its goal is not to replace React, but to make React’s internal ideas easier to understand through a compact... -
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pytorch-examples
Simple examples to introduce PyTorch
The pytorch-examples project is a collection of concise and practical examples demonstrating how to use PyTorch for machine learning and deep learning tasks. It focuses on clarity and minimalism, providing small, self-contained scripts that illustrate key concepts such as neural network training, optimization, and data handling. The examples cover a range of topics including supervised learning, generative models, and reinforcement learning, making it a valuable resource for both beginners... -
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Gogradle
A Gradle Plugin Providing Full Support for Go
Gogradle is a gradle plugin that provides support for building golang. Gogradle is a Gradle plugin that provide modern build support for Golang. Gogradle is deeply inspired by glide(I need to pay respect for it). You can simply think Gogradle as glide+make. make has a very steep learning curve, thus many people (like me) aren't good at it; Gradle use a DSL with similar syntax to Java to describe a build, which is easier for me. Makefile and Shell have cross-platform issues, especially on... -
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React Boilerplate
A highly scalable, offline-first foundation with the best DX
React Boilerplate is a highly scalable, offline-first foundation for React.js applications. It offers the best developer experience with a focus on performance and best practices. React Boilerplate offers predictable state management so you can take control of your app’s state and keep state mutations manageable. It also features next generation JavaScript, so you can stop worrying about browser support or use features like arrow functions, JSX syntax and more. There’s also support for... -
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adv-r
Advanced R: a book
Source repository for Advanced R, the authoritative guide by Hadley Wickham, built with bookdown (R Markdown) and designed to deepen R users’ understanding of language internals, functional programming, object systems, and metaprogramming. -
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PythonRobotics
Python sample codes and textbook for robotics algorithms
PythonRobotics is a Python code collection and textbook for learning robotics algorithms through readable examples. It covers practical topics such as localization, mapping, path planning, path tracking, control, SLAM, and autonomous navigation. The project is written to make each algorithm’s core idea easy to understand, rather than hiding the logic behind large frameworks. It keeps dependencies minimal so learners can focus on the math, implementation, and behavior of each robotics method.... -
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spark-ml-source-analysis
Spark ml algorithm principle analysis and specific source code
spark-ml-source-analysis is a technical repository that analyzes the internal implementation of machine learning algorithms within Apache Spark’s MLlib library. The project aims to help developers and data scientists understand how distributed machine learning algorithms are implemented and optimized inside the Spark ecosystem. Instead of providing a runnable software system, the repository focuses on explaining algorithm principles and examining the underlying source code used in Spark’s... -
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Text Typesetting
Concise guide to better typography and formatting practices
Text-Typesetting is a concise guide to better typography and formatting practices for technical writing. It collects rules of spacing, punctuation, emphasis, and layout that improve readability, especially in documents mixing multiple languages or code. The repository focuses on consistent micro-typography—such as when to use non-breaking spaces, how to place punctuation around quotes, and how to format lists and headings. Examples show the before/after impact of small adjustments, making... -
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MIT Deep Learning
Tutorials, assignments, and competitions for MIT Deep Learning
MIT Deep Learning is an open-source repository that contains tutorials, assignments, and learning materials related to deep learning courses taught at MIT. The repository provides hands-on tutorials that introduce the fundamental concepts behind neural networks, deep learning architectures, and modern machine learning techniques. Many of the tutorials include practical implementations that demonstrate tasks such as image classification, generative models, and neural network training... -
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data-science-ipython-notebooks
Data science Python notebooks: Deep learning
Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action. Advanced sections touch on neural networks and... -
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vim-go-tutorial
Tutorial for vim-go
vim-go-tutorial is a step-by-step educational repository that teaches developers how to install, configure, and effectively use the vim-go plugin for Go development inside Vim. The project walks users through a structured learning path that begins with quick setup and progresses through building, testing, refactoring, navigation, and code generation workflows. It is designed primarily for developers who want to turn Vim into a full-featured Go IDE while understanding the tooling rather than... -
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Essential React
A minimal skeleton for building testable React apps using Babel
A minimal skeleton for building testable React apps using Babel. The design goals are to use fewer tools (no yeoman, gulp, bower, etc...) Babel 6 with Webpack and Hot Loader. Fast testing with mocked-out DOM. Import CSS files as class names. Separate smart and dumb components. No specific implementation of Flux or data fetching patterns. A core philosophy of this skeleton app is to keep the tooling to a minimum. For this reason, you can find all the commands in the scripts section of... -
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Compare GAN
Compare GAN code
compare_gan is a research codebase that standardizes how Generative Adversarial Networks are trained and evaluated so results are comparable across papers and datasets. It offers reference implementations for popular GAN architectures and losses, plus a consistent training harness to remove confounding differences in optimization or preprocessing. The library’s evaluation suite includes widely used metrics and diagnostics that quantify sample quality, diversity, and mode coverage. With... -
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Bash Infinity
A modern standard library / framework / boilerplate for Bash
...The Infinity Framework is also plug & play: include it at the beginning of your existing script to import any of the individual features such as error handling, and start using other features gradually. The aim of Bash Infinity is to maximize the readability of bash scripts, minimize the amount of code repeat and create a central repository for a well-written, and a well-tested standard library for bash. Bash Infinity transforms the often obfuscated "bash syntax" to a cleaner, more modern syntax. Some components are more sturdy than others, and as-it-stands the framework lacks good test coverage (we need your help!). -
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Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months"
This repository outlines an ambitious self-study curriculum for learning machine learning in roughly three months, emphasizing breadth, momentum, and hands-on practice. It sequences core topics—math foundations, classic ML, deep learning, and applied projects—so learners can pace themselves week by week. The plan mixes reading, lectures, coding assignments, and small build-it-yourself projects to reinforce understanding through repetition and implementation. Because ML is a wide field, the... -
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JBot
Make Slack and Facebook Bots in Java
JBot is a java framework (inspired by Howdyai's Botkit) to make Slack and Facebook bots in minutes. It provides all the boilerplate code needed so that you can make your bot live right away. Provides you with all the boilerplate code which handles underlying WebSocket connections and other complexities. Supports extra events in addition to all the events supported by Slack/Facebook which makes your work a lot easier. Receiving & sending messages is as easy as defining a @Controller and... -
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Express & mongoose REST API Boilerplate
A boilerplate application for building RESTful APIs Microservice
...Supports code coverage of ES6 code using istanbul and mocha. Code coverage reports are saved in the coverage/directory post yarn test execution. Open coverage/lcov-report/index.html to view the coverage report. yarn test also displays code coverage summary on the console. Code coverage can also be enforced overall and per file as well, configured via .istanbul.yml. -
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mini3d
3D Software Renderer in 700 Lines
...Up to 1024 x 1024 textures. Use the depth buffer to judge the image before and after. Perspective Texture Mapping and Perspective Color Fill. Accurate polygon edge coverage calculation. The rendering engine has only 700 lines, the modules are clear, and the backbone is prominent. Detailed comments, detailed comments on the main code. -
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JCrazySuite
Memory-Leak Detector & Unit-Test Accelerator
http://garfield-geng.iteye.com/blog/2017199 (1) Memory-Leak Detector (full code branch coverage is mandatory) (2) Unit-Test Accelerator (on your 4/6/8 cpu cores) (3) JCrazySuiteI18N, generate i18n properties file, edit, get i18n object in test classes -
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Keras resources
Directory of tutorials and open-source code repositories
Keras resources is a curated directory of tutorials, projects, and educational materials designed to help developers learn and work effectively with the Keras deep learning library. It aggregates a wide range of resources, including beginner guides, advanced tutorials, code examples, and third-party tools, all organized into a single reference hub. The repository covers diverse topics such as image classification, natural language processing, reinforcement learning, and generative models,... -
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test-tlb
Stupid memory latency and TLB tester
...It walks arrays using different strides and working-set sizes so you can observe when access patterns overflow cache or TLB capacity. By timing tight loops and varying parameters, the program reveals step-changes in latency that map to cache lines, page sizes, and TLB coverage. It is intentionally minimal so you can modify page sizes, strides, or pointer-chasing strategies to run experiments on different machines and kernels. The code is useful for teaching, hardware bring-up, or validating assumptions about huge pages and NUMA placement. Rather than providing a plotting framework, it prints timings that you can collect and graph with external tools to visualize cache/TLB boundaries. -
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CSCore
An advanced audio library, written in C#. Provides tons of features
An advanced audio library, written in C#. Provides tons of features. From playing/recording audio to decoding/encoding audio streams/files to processing audio data in real-time (e.g. applying custom effects during playback, creating visualizations). The possibilities are nearly unlimited. CSCore is a free .NET audio library which is completely written in C#. Although it is still a rather young project, it offers tons of features like playing or capturing audio, en- or decoding many different...
