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💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Build interactive dashboards in minutes.
- grid
- javascript
- typescript
- angular
A modern, high customizable, responsive Jekyll theme for documentation with built-in search.
- jekyll
- jekyll-theme
- documentation
- github-pages
Featuring powerful AI capabilities and supporting various e-book formats, it makes reading smarter and more focused.
A library for building cross-platform native desktop applications with Node.js and CSS 🚀. React NodeGui : https://react.nodegui.org and Vue NodeGui: https://vue.nodegui.org
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Curated prompts, frameworks and papers for LLMs and agents, with an engineering bias. Prompt engineering, context engineering, agent harnesses, red teaming.
- awesome
- awesome-list
- chatgpt
- prompt
Octopress is an obsessively designed framework for Jekyll blogging. It’s easy to configure and easy to deploy. Sweet huh?
A unified ecosystem and workspace for large-scale federated learning of Large Models & LLMS. Store compute as Wifi
- compute-orchestration
- distributed-systems
- edge-computing
- edge-intelligence
A text editor in less than 1000 LOC with syntax highlight and search.
ModelScope: bring the notion of Model-as-a-Service to life.
- nlp
- cv
- speech
- multi-modal
The Ultimate Open-Source Security Arsenal for Hackers, Enterprises, and AI Agents——面向极客、企业与 AI 智能体的全域开源网络安全工具矩阵
- pentesting-tools
- vulnerability-scanners
- redteam-tools
- penetration-testing
Keras implementations of Generative Adversarial Networks.
- deep-learning
- gan
- keras
- generative-adversarial-networks
🕸️ Create REST and GraphQL APIs, scaffold Jamstack webapps, stream changes in real-time.
A bit like Solr, but much smaller and not as bright
- lunr
- javascript
- search
- full-text-search
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
- machine-learning
- decision-trees
- gradient-boosting
- gbm
A shell parser, formatter, and interpreter with bash and zsh support; includes shfmt
Sampling CPU and HEAP profiler for Java featuring AsyncGetCallTrace + perf_events
DeepGEMM: clean and efficient BLAS kernel library on GPU
Collection of Summer, Fall, Spring 2027 tech internships!
- internships
- university
- jobs
- fall-2025
:book: A creative-commons book on Backbone.js for beginners and advanced users alike
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
- knowledge-graph
- large-language-model
- logical-reasoning
- multi-hop-question-answering