Showing 311 open source projects for "code coverage"

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  • 1
    machine_learning_examples

    machine_learning_examples

    A collection of machine learning examples and tutorials

    machine_learning_examples is an open-source repository that provides a large collection of machine learning tutorials and practical code examples. The project aims to teach machine learning concepts through hands-on programming rather than purely theoretical explanations. It includes implementations of many machine learning algorithms and neural network architectures using Python and popular libraries such as TensorFlow and NumPy. The repository covers a wide range of topics including...
    Downloads: 0 This Week
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  • 2
    TONL

    TONL

    TONL (Token-Optimized Notation Language)

    ...It provides a serialization format that significantly reduces token usage compared with traditional JSON, which can result in lower costs and more efficient prompt size utilization in LLM-driven systems. TONL isn’t just a format — it includes a rich API for querying, indexing, modifying, and streaming data, along with tools for schema validation and TypeScript code generation. The platform comes with a complete command-line interface that supports interactive dashboards and cross-platform usage in browsers and server environments, and its high test coverage gives developers confidence in stability.
    Downloads: 0 This Week
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  • 3

    Steel Bank Common Lisp

    Common Lisp compiler and runtime

    A high performance Common Lisp compiler. In addition to standard ANSI Common Lisp, it provides an interactive environment including an a debugger, a statistical profiler, a code coverage tool, and many other extensions.
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    Downloads: 4,200 This Week
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  • 4
    claude-video

    claude-video

    Give Claude the ability to watch any video

    ...The workflow checks captions first, downloads only what is necessary, extracts timestamped frames, and produces a transcript through native captions or Whisper fallback. It supports different detail levels so users can trade speed, token cost, and visual coverage depending on the task. The skill is useful for summarizing videos, reviewing screen recordings, analyzing content structure, diagnosing visual bugs, and turning course material into notes. It can be installed through Claude Code, agent skill hosts, claude.ai, or manual setup.
    Downloads: 2 This Week
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    MongoDB Atlas runs apps anywhere

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  • 5
    JavaFamily

    JavaFamily

    Java Interview + Java Study Guide

    JavaFamily is a large educational repository that aggregates knowledge, tutorials, and resources related to Java development and backend engineering. It covers a wide range of topics including core Java, Spring framework, microservices, distributed systems, and performance optimization. The project is designed to help developers build a strong foundation while also exploring advanced concepts used in enterprise environments. It includes explanations, code samples, and curated resources that...
    Downloads: 0 This Week
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  • 6
    How to Train Your GPT

    How to Train Your GPT

    Build a modern LLM from scratch. Every line commented

    How to Train Your GPT is an interactive textbook that teaches users how to build, train, and run a modern language model from scratch. It is written for learners with minimal machine-learning background, using simple explanations, commented code, and practical examples. The project covers the same broad family of architecture behind systems such as GPT-style models, LLaMA-style models, Claude-style systems, and Mistral-style models. It includes chapters and topic explainers on tokenizers,...
    Downloads: 1 This Week
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  • 7
    go-ast-book

    go-ast-book

    Go Language Customization Guide

    Go AST Book is an open-source Chinese technical book about understanding and customizing Go through its abstract syntax tree. It explains how Go source files can be represented as semantically equivalent AST structures. The book focuses on the standard library packages behind this process, especially go/ast and go/token. It shows how tools such as formatting, documentation, parsing, and code analysis are built on top of syntax tree concepts. The repository includes chapter files, appendices,...
    Downloads: 0 This Week
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  • 8
    ML-NLP

    ML-NLP

    This project is a common knowledge point and code implementation

    ML-NLP is a large open-source repository that collects theoretical knowledge, practical explanations, and code examples related to machine learning, deep learning, and natural language processing. The project is designed primarily as a learning resource for algorithm engineers and students preparing for technical interviews in machine learning or NLP roles. It compiles important concepts that frequently appear in machine learning discussions, including neural network architectures, training...
    Downloads: 0 This Week
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  • 9
    Aprendiendo React

    Aprendiendo React

    A course to learn React

    Aprendiendo React is a project-based React course repository aimed at teaching React from scratch in Spanish, with a strong emphasis on building real applications. The README links each module to a corresponding YouTube class, covering topics such as React basics, hooks like useState and useEffect, data fetching and custom hooks, advanced hooks (useRef, useMemo, useCallback, useContext, useReducer, useId), routing, lazy loading, and React with TypeScript. The code is organized into a...
    Downloads: 0 This Week
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  • 10
    Design Patterns for Humans

    Design Patterns for Humans

    An ultra-simplified explanation to design patterns

    Design Patterns for Humans is a developer-friendly guide that explains classic software design patterns using plain language, intuitive analogies, and succinct code examples. Instead of dense academic prose, it focuses on “why” and “when” to use a pattern, including trade-offs that help readers make pragmatic choices. The material groups patterns into categories such as creational, structural, and behavioral, mirroring common references while staying approachable for self-study. Each...
    Downloads: 0 This Week
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  • 11
    Digoal Blog

    Digoal Blog

    Opensource, Database, AI, Business

    Digoal Blog is a comprehensive collection of articles, tutorials, and resources focused on open-source databases, particularly PostgreSQL. Maintained by Digoal Zhou, the blog covers a wide range of topics including database optimization, architecture, and best practices, serving as a valuable resource for database administrators and developers.
    Downloads: 0 This Week
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  • 12
    IPython Kernel for Jupyter

    IPython Kernel for Jupyter

    IPython Kernel for Jupyter

    This package provides the IPython kernel for Jupyter. IPython provides a rich toolkit to help you make the most of using Python interactively.
    Downloads: 0 This Week
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  • 13
    TinyDB

    TinyDB

    Document oriented database optimized for you

    TinyDB is a lightweight document oriented database optimized for your happiness :) It's written in pure Python and has no external dependencies. The target are small apps that would be blown away by a SQL-DB or an external database server. The current source code has 1800 lines of code (with about 40% documentation) and 1600 lines tests. Like MongoDB, you can store any document (represented as dict) in TinyDB. TinyDB is designed to be simple and fun to use by providing a simple and clean...
    Downloads: 1 This Week
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  • 14
    HackerRepo.org

    HackerRepo.org

    Collection of cybersecurity-related references, scripts, tools, code

    HackerRepo is a massive curated repository that aggregates thousands of cybersecurity, ethical hacking, and digital forensics resources into a single structured knowledge base. The project is designed as a companion learning hub for security professionals, penetration testers, and researchers who want organized access to tools, references, and training material. It spans both offensive and defensive security topics, including exploit development, threat hunting, reverse engineering, AI...
    Downloads: 8 This Week
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  • 15
    Swift Composable Architecture

    Swift Composable Architecture

    A library for building applications

    The Swift Composable Architecture (TCA) is a reusable, testable architecture library for building Swift applications using unidirectional data flow, reducers, and dependency injection. It encourages modular code, easy state management, and full test coverage. Designed and authored by the Point-Free team with extensive real-world examples.
    Downloads: 1 This Week
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  • 16
    Claude Scientific Skills

    Claude Scientific Skills

    A set of ready to use Agent Skills for research, science, engineering

    Claude Scientific Skills is a large open source collection of ready-to-use scientific capabilities that extend AI coding agents into full research assistants. The project provides more than 170 curated skills covering domains such as genomics, drug discovery, medical imaging, physics, and advanced data analysis. Each skill bundles documentation, examples, and tool integrations so agents can reliably execute complex multi-step scientific workflows. The framework follows the open Agent Skills...
    Downloads: 23 This Week
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  • 17
    Echidna

    Echidna

    Ethereum smart contract fuzzer

    ...We designed Echidna with modularity in mind, so it can be easily extended to include new mutations or test specific contracts in specific cases. Optional corpus collection, mutation and coverage guidance to find deeper bugs. Powered by Slither to extract useful information before the fuzzing campaign. Source code integration to identify which lines are covered after the fuzzing campaign. Curses-based retro UI, text-only or JSON output.
    Downloads: 2 This Week
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  • 18
    Learn PyTorch for Deep Learning

    Learn PyTorch for Deep Learning

    Materials for the Learn PyTorch for Deep Learning

    Learn PyTorch for Deep Learning is an open-source educational repository that provides the full learning materials for the “Learn PyTorch for Deep Learning: Zero to Mastery” course created by Daniel Bourke. The project is designed to teach beginners how to build deep learning models using PyTorch through a hands-on, code-first learning approach. Instead of focusing heavily on theory alone, the repository encourages learners to experiment with code and develop practical machine learning...
    Downloads: 1 This Week
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  • 19
    30 Seconds of Java

    30 Seconds of Java

    Collection of reusable tested Java 21 compatible code snippets

    30 Seconds of Java is a curated collection of short, focused Java code snippets intended to teach small concepts quickly, similar to the popular “30 seconds of code” format in other languages. Each snippet is designed to be read and understood in under a minute, showing a single idea such as working with streams, handling optionals, manipulating collections, or doing common utility tasks. The repo targets both beginners who want bite-sized learning and experienced developers who just need a...
    Downloads: 0 This Week
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  • 20
    Trivy

    Trivy

    Find vulnerabilities, misconfigurations, secrets, SBOM in containers

    Trivy is the most popular open source security scanner, reliable, fast, and easy to use. Use Trivy to find vulnerabilities & IaC misconfigurations, SBOM discovery, Cloud scanning, Kubernetes security risks,and more. Trivy is praised by professionals from organizations worldwide. Are you a Trivy fan as well? We’d love to hear from you! Trivy detects vulnerabilities from a wide array of operating systems and programming languages, across different versions, and vulnerability sources. Detect...
    Downloads: 12 This Week
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  • 21
    Companion notebooks for Deep Learning

    Companion notebooks for Deep Learning

    Jupyter notebooks for the code samples of the book

    Companion notebooks for Deep Learning is a collection of Jupyter notebooks that accompany François Chollet’s deep learning curriculum, providing hands-on implementations of key concepts using practical examples. The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The...
    Downloads: 0 This Week
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  • 22
    CVPR 2026

    CVPR 2026

    Collection of CVPR 2026 Papers and Open Source Projects

    CVPR2026-Papers-with-Code is a community-maintained repository that collects research papers and corresponding open-source implementations from the CVPR 2026 conference and related computer vision research. The repository acts as a continuously updated catalog of cutting-edge research across a wide range of topics including computer vision, multimodal AI, generative models, diffusion systems, autonomous driving, medical imaging, and remote sensing. Each entry typically links to the research...
    Downloads: 0 This Week
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  • 23
    DynamoRIO

    DynamoRIO

    Dynamic Instrumentation Tool Platform

    DynamoRIO is a runtime code manipulation system that supports code transformations on any part of a program, while it executes. DynamoRIO exports an interface for building dynamic tools for a wide variety of uses: program analysis and understanding, profiling, instrumentation, optimization, translation, etc. Unlike many dynamic tool systems, DynamoRIO is not limited to insertion of callouts/trampolines and allows arbitrary modifications to application instructions via a powerful...
    Downloads: 0 This Week
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  • 24
    HexaPDF

    HexaPDF

    Versatile PDF creation and manipulation for Ruby

    HexaPDF is a pure Ruby library with an accompanying application for working with PDF files. It was designed with ease of use and performance in mind. It uses lazy loading and lazy computing when possible and tries to produce small PDF files by default.
    Downloads: 0 This Week
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  • 25
    AWS IoT Fleet Provisioning Library

    AWS IoT Fleet Provisioning Library

    Client library for using AWS IoT Fleet Provisioning service

    The Fleet Provisioning library enables you to provision IoT devices without device certificates using the Fleet Provisioning feature of AWS IoT Core. For an overview of provisioning options available, see Device provisioning. This library has no dependencies on any additional libraries other than the standard C library, and therefore, can be used with any MQTT library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including...
    Downloads: 1 This Week
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