Search Results for "code coverage" - Page 3
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Showing 314 open source projects for "code coverage"
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LLM101n
LLM101n: Let's build a Storyteller
LLM101n is an educational repository that walks you through building and understanding large language models from first principles. It emphasizes intuition and hands-on implementation, guiding you from tokenization and embeddings to attention, transformer blocks, and sampling. The materials favor compact, readable code and incremental steps, so learners can verify each concept before moving on. You’ll see how data pipelines, batching, masking, and positional encodings fit together to train a... -
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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... -
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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. -
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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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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. -
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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... -
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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,... -
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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,... -
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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... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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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... -
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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... -
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Google Cloud Platform Python Samples
Code samples used on cloud.google
Google Cloud Platform Python Samples repository is a large, curated collection of Python code examples that demonstrate how to use a wide range of Google Cloud services in real-world scenarios. It serves as a practical companion to official documentation, providing runnable snippets that illustrate how to authenticate, configure environments, and interact with APIs across products such as storage, AI services, and data processing tools. The repository is organized into product-specific... -
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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. -
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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. -
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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... -
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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... -
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Karma
Test Runner for JavaScript
The main goal for Karma is to bring a productive testing environment to developers. The environment being one where they don't have to set up loads of configurations, but rather a place where developers can just write the code and get instant feedback from their tests. Because getting quick feedback is what makes you productive and creative. Test your code on real browsers and real devices such as phones, tablets or on a headless PhantomJS instance. Control the whole workflow from the... -
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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. -
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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... -
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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. -
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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... -
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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... -
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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... -
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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... -
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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...
