Search Results for "code coverage" - Page 9
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Showing 311 open source projects for "code coverage"
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BigchainDB Server
Meet BigchainDB. The blockchain database
BigchainDB is the blockchain database. This repository is for the BigchainDB Server. Running and testing the latest version of the BigchainDB Server is easy. Make sure you have a recent version of Docker Compose installed. -
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Intermock
Mocking library to create mock objects with fake data for TypeScript
...By leveraging Intermock, developers can quickly generate realistic mock datasets for testing, prototyping, and documentation purposes without writing boilerplate code. -
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SentEval
A python tool for evaluating the quality of sentence embeddings
SentEval is a standardized toolkit for evaluating sentence embeddings across a wide spectrum of downstream tasks and probing tests. It defines a simple interface—provide an encoder function from sentences to vectors—and then runs consistent training/evaluation loops for tasks like sentiment, entailment, paraphrase, and semantic textual similarity. The suite also contains linguistic probing tasks that illuminate what properties embeddings capture, such as tense, word order, or syntactic... -
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Stable Baselines
A fork of OpenAI Baselines, implementations of reinforcement learning
Stable Baselines is a set of improved implementations of reinforcement learning algorithms based on OpenAI Baselines. You can read a detailed presentation of Stable Baselines in the Medium article. These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. We expect these tools will be used as a base around which new ideas can be added, and as a tool for comparing a new... -
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Redux-ORM
A small, simple and immutable ORM to manage relational data
...All queries are lazily evaluated and come with built-in support for memorization. It provides a clean abstraction over low-level updates, protecting the state from accidental mutations. With nearly 100% branch coverage, the library is thoroughly tested to ensure rock-solid code quality. No matter where your data comes from, Redux-ORM will stay out of its way. Even a custom database layer is possible. Defining fields on a Model specifies the table structure in the database for that Model. In order to generate a description of the whole database's structure, we need a central place to register all Models we want to use. ... -
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American Fuzzy Lop
American fuzzy lop - a security-oriented fuzzer
AFL (American Fuzzy Lop) is a widely used graybox fuzzer that discovers bugs by mutating inputs and steering execution using lightweight instrumentation. Instead of random mutations alone, it uses coverage feedback to evolve input corpora, pushing programs into deeper and more interesting code paths. Its workflow emphasizes quick start: point it at a target binary with compile-time instrumentation (or use QEMU-based mode when recompilation isn’t possible), seed it with a small corpus, and let it iterate. AFL is known for finding serious security issues in complex software due to its corpus minimization, queue management, and deterministic mutation stages that balance breadth and depth. ... -
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Reliable Metrics for Generative Models
Code base for the precision, recall, density, and coverage metrics
Reliable Fidelity and Diversity Metrics for Generative Models (ICML 2020). Devising indicative evaluation metrics for the image generation task remains an open problem. The most widely used metric for measuring the similarity between real and generated images has been the Fréchet Inception Distance (FID) score. Because it does not differentiate the fidelity and diversity aspects of the generated images, recent papers have introduced variants of precision and recall metrics to diagnose those... -
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pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch-tutorial is a highly popular educational repository that teaches deep learning with PyTorch through step-by-step examples and well-structured lessons. It is designed primarily for beginners and intermediate practitioners who want to understand PyTorch fundamentals and quickly move toward building real neural network models. The repository walks users through core concepts such as tensors, autograd, neural network modules, convolutional networks, recurrent networks, and transfer... -
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Tensorflow and deep learning
A crash course in six episodes for software developers
Tensorflow and deep learning repository is an educational deep learning crash course designed to help software developers quickly understand and apply machine learning concepts without requiring advanced academic background. It is structured as a series of guided lessons that combine theoretical explanations, practical examples, and runnable code, allowing learners to build intuition while actively experimenting with models. The repository covers core neural network concepts such as weights,... -
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JS Bits
JavaScript concepts with code
...The repository is organized by topic so that learners can jump directly into areas they want to reinforce or explore, and community contributions are welcomed to expand coverage or add alternative explanations. Rather than being a formal textbook, js-bits acts like a developer’s code-centric cheat sheet that helps bridge the gap between abstract language specifications and real usage patterns in the browser or Node.js. -
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eslint-plugin-node
Additional ESLint's rules for Node.js
Additional ESLint's rules for Node.js. plugin:node/recommended considers both CommonJS and ES Modules. If "type":"module" field existed in package.json then it considers files as ES Modules. Otherwise it considers files as CommonJS. In addition, it considers *.mjs files as ES Modules and *.cjs files as CommonJS. plugin:node/recommended-module considers all files as ES Modules. plugin:node/recommended-script considers all files as CommonJS. -
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threadandjuc
High performance three-high-import import system
threadandjuc is a Java learning repository focused on multithreading, concurrency, and JUC concepts. It is designed to help developers understand how Java concurrent programming works through examples, explanations, and practical project-style demonstrations. The project covers topics such as threads, locks, synchronization, thread pools, concurrent collections, and high-performance data handling. It is especially useful for Java developers preparing for interviews or improving their... -
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XcodeCoverage
Code coverage for Xcode projects (Objective-C only)
XcodeCoverage is a tool that automates the generation of code coverage reports for iOS and macOS projects. It helps developers measure how much of their code is tested, facilitating better testing practices and coverage improvement. -
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Swift tips & tricks
A collection of Swift tips & tricks that I've shared on Twitter
Swift tips & tricks is a curated collection of practical Swift programming tips and tricks compiled from real-world usage and shared insights, primarily originating from short-form content like social media posts. The repository serves as a knowledge base of concise, focused techniques that demonstrate idiomatic Swift patterns, language features, and problem-solving approaches. Each tip highlights a specific concept, such as functional programming techniques, protocol specialization, error... -
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Node.JS Course
Materials, slides and other goodies from my Node.JS courses
This repository accompanies a hands-on Node.js course that builds production-minded skills through projects and exercises rather than slideware. It walks learners from fundamentals to pragmatic topics such as configuration management, process models, database integration, caching, and message queues. Security practices—input validation, secrets handling, and least-privilege IAM—are woven into examples instead of tacked on at the end. The curriculum also covers operational concerns like... -
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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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Deep-Learning-with-PyTorch-Tutorials
Deep Learning and PyTorch Introduction Video Tutorial with Source Code
Deep-Learning-with-PyTorch-Tutorials is a companion repository for an introductory deep learning course built around PyTorch. It provides source code, notebooks, and presentation materials for a practical video-based learning path. The lessons begin with PyTorch setup, tensors, indexing, mathematical operations, gradients, and basic optimization. They then move into neural networks, logistic regression, multilayer perceptrons, CNNs, ResNet, RNNs, LSTMs, autoencoders, VAEs, GANs, graph... -
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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....
