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Showing 23 open source projects for "no knowledge"
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Knowledge Work Plugins
Open source repository of plugins intended for knowledge workers
Knowledge Work Plugins is Anthropic’s open-source repository of plugin-style Markdown packs for knowledge-work use cases in Claude Cowork and related Claude Code workflows. It is designed to give AI assistants structured domain instructions rather than relying on generic chat behavior. The repository includes plugins for practical office, research, legal, and business workflows, with each plugin stored as editable Markdown. -
2
patent-disclosure-skill
Point excavation and submission book
...A separate reading mode turns patent numbers, PDFs, or full text into plain-language notes with claim structure, terminology, and supporting context. Obsidian integration can store the results as linked notes, canvases, and knowledge graphs for ongoing research. -
3
Goutoujunshi
A Codex dating strategist who first captures emotions
...It separates known facts, assumptions, and unknowns before evaluating attraction, reciprocity, risk, opportunity cost, and longer-term options. The skill can analyze user summaries, exported conversations, and chat screenshots while keeping track of who said what. Its knowledge base draws from relationship psychology, personality research, communication, sexuality, family studies, law, sociology, philosophy, and breakup recovery. Advice can be turned into a sendable message, invitation plan, first-date outline, observation window, or practice conversation. It supports diverse sexual orientations, gender identities, relationship structures, and cultural contexts without assuming fixed gender roles. ... -
4
List of independent blogs in Chinese
List of independent blogs in Chinese
List of independent blogs in Chinese is a curated open repository that aggregates and maintains a large list of independent Chinese-language blogs across technology, design, and personal knowledge domains. The project aims to promote the independent blogging ecosystem by making it easier for readers to discover high-quality personal sites outside major content platforms. It is community-driven, allowing contributors to submit and update blog entries so the directory remains current and diverse. The repository functions both as a discovery index and as a cultural snapshot of the independent Chinese web publishing landscape. ... -
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5
Writer Framework
No-code in the front, Python in the back. An open-source framework
...It follows a hybrid approach where user interfaces are created using a drag-and-drop editor while business logic is implemented in Python, allowing teams to balance speed and flexibility without sacrificing control. The framework is particularly focused on AI use cases, enabling developers to integrate large language models, knowledge graphs, and custom machine learning workflows into user-facing applications. Its architecture enforces a clear separation of concerns between frontend and backend, which improves maintainability and scalability as applications grow in complexity. The system is designed to support rapid prototyping, enabling developers to iterate on UI and backend logic independently and deploy changes quickly. -
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HelloGitHub
Share interesting, entry-level open source projects on GitHub
...Open source projects in various languages, tools to make life better, books, study notes, tutorials, and more. Through these projects, you will learn more programming knowledge, improve your programming skills, and discover the joy of programming. -
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100+ Python Projects Challenge
100+ Python Projects Challenge
...The repository is aimed at learners who benefit from doing, modifying, and expanding examples. It is best used as a progressive challenge list for turning Python knowledge into visible working projects. -
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claude-code-best-practice
Practice made claude perfect
claude-code-best-practice is a structured knowledge repository that documents advanced workflows, architectural patterns, and optimization strategies for developers using Claude Code in agentic development environments. Rather than being a traditional software library, the project functions as a living playbook that demonstrates how to compose skills, agents, memory files, and rules into maintainable AI-assisted coding systems. -
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Claude Code Plugins Directory
Official, Anthropic-managed directory of high quality Claude Plugins
...These plugins define how Claude should access tools, retrieve data, and execute structured tasks so that outputs become more consistent and production-ready. The project emphasizes customizable automation by allowing developers to encode preferred workflows, domain knowledge, and operational rules directly into plugin configurations. It is built to work with Claude Cowork and Claude Code environments, enabling teams to standardize how AI assistance behaves across different use cases. By exposing slash commands and workflow logic, the repository helps organizations operationalize AI in real business contexts rather than relying on generic prompting. -
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10
Helium
Lighter web automation with Python
...Helium manages browser setup, waits, and teardown, enabling quick development of scripts for testing, scraping, or task automation without requiring deep Selenium knowledge. -
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Graph Notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop
...Using this open-source Python package, you can connect to any graph database that supports the Apache TinkerPop, openCypher or the RDF SPARQL graph models. These databases could be running locally on your desktop or in the cloud. Graph databases can be used to explore a variety of use cases including knowledge graphs and identity graphs. This project includes many examples of Jupyter notebooks. It is recommended to explore them. All of the commands and features supported by graph notebook are explained in detail with examples within the sample notebooks. You can find them here. As this project has evolved, many new features have been added. ... -
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Claude Code Projects Index
An index of my Claude Code related repos
...It is particularly valuable for developers exploring the Claude ecosystem and looking for inspiration or best practices. The repository is continuously updated, reflecting the evolving landscape of AI-assisted development. It also serves as a knowledge-sharing platform, highlighting innovative approaches and implementations. Overall, it acts as a discovery hub that accelerates learning and adoption of AI development tools. -
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RecBole
A unified, comprehensive and efficient recommendation library
...We have implemented more than 100 recommender system models, covering four common recommender system categories in RecBole and eight toolkits of RecBole2.0, including General Recommendation, Sequential Recommendation, Context-aware Recommendation, and Knowledge-based Recommendation and sub-packages. -
14
Tunix
A JAX-native LLM Post-Training Library
Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. ... -
15
Playground Cheatsheet for Python
Playground and cheatsheet for learning Python
learn-python is another repository by Oleksii Trekhleb that serves as both a playground and an interactive cheatsheet for learning Python. It contains numerous Python scripts organized by topic (lists, dictionaries, loops, functions, classes, modules, etc.), each with code examples, explanations, test assertions, and links to further readings. The design supports “learn by doing”: you can modify the code, run the tests, see how behavior changes, and thus internalize Python language features,... -
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Computer Science Flash Cards
Mini website for testing both general CS knowledge and enforce coding
This repository collects concise flash cards that cover the core ideas of a traditional computer science curriculum with a focus on interview readiness. The cards distill topics like time and space complexity, classic data structures, algorithmic paradigms, operating systems, networking, and databases into short, testable prompts. They are designed for spaced-repetition style study so you can cycle frequently through fundamentals until recall feels automatic. Many cards point at canonical... -
17
DGL
Python package built to ease deep learning on graph
...Scale to giant graphs via multi-GPU acceleration and distributed training infrastructure. DGL empowers a variety of domain-specific projects including DGL-KE for learning large-scale knowledge graph embeddings, DGL-LifeSci for bioinformatics and cheminformatics, and many others. We are keen to bringing graphs closer to deep learning researchers. We want to make it easy to implement graph neural networks model family. We also want to make the combination of graph based modules and tensor based modules (PyTorch or MXNet) as smooth as possible. ... -
18
SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple computational steps, while maintaining speaker consistency across output channels. Separate models are trained for different speaker counts, and the largest-capacity model dynamically determines the actual number of speakers in a mixture. ... -
19
YOLOR
implementation of paper - You Only Learn One Representation
...Its central contribution is the use of implicit knowledge to improve network performance without treating every task as fully separate. It is useful for computer vision researchers and developers studying YOLO-style detectors, representation learning, and high-performance detection systems. -
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ComplexEventExtraction
Expression pattern collection of Chinese compound event extraction
...It also discusses several event representations, including clauses, token sequences, and syntactic phrases. The project is intended as a research reference for event extraction, knowledge modeling, forecasting, and language-resource development. -
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Teach Me Quantum
Practical Course on Quantum Information Science and Quantum Computing
A university-level course on Quantum Computing and Quantum Information Science that incorporates IBM Q Experience and Qiskit. This course is adequate for general audiences without prior knowledge on Quantum Mechanics and Quantum Computing (see prior knowledge), has an estimated average duration of 10 weeks at 3h/week (see duration), and is meant to be the entrypoint into the Quantum World. -
22
Zhao
A compilation of "The Princely Party Relationship Network"
...The project may include code examples, experiment results, references to academic papers, mathematical notes, and supporting scripts to explore specific ML methods, benchmarks, or theoretical findings. Because it aggregates content associated with Zhao, the repository functions as a personal or shared knowledge base for readers who want insight into a body of research rather than a traditional software library. Depending on the specific subfolders, it could offer implementations of algorithms, dataset processing utilities, or notebooks that illustrate concepts. Users interested in reading academic work or numerical demonstrations can use the content to deepen understanding of advanced topics. -
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Container Training
Slides and code samples for training, tutorials, and workshops
Container Training is an open educational repository containing slides, labs, scripts, and sample applications for learning Docker and Kubernetes. It supports both instructor-led workshops and self-paced study with little assumed prior container knowledge. Course material includes Docker fundamentals, Docker Swarm orchestration, and Kubernetes orchestration. A sample microservices application called DockerCoins is used to demonstrate deployment, scaling, networking, load balancing, and updates. Advanced chapters cover topics such as logging, metrics, secrets, security, and health checks. ...
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