Burn
tracel-ai
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
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Results: 108
tracel-ai
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
shuding
Simple, powerful and flexible site generation framework with everything you love from Next.js.
dataelement
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified m…
apache
An AI-powered next-generation open source real-time observability system.
ConardLi
ConardLi's open-source Skills collection, featuring web design, knowledge retrieval, image generation, and more.
AgriciDaniel
Comprehensive paid advertising audit & optimization skill for Claude Code. 250+ checks across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft & Apple Ads with weighte…
MystenLabs
Sui, a next-generation smart contract platform with high throughput, low latency, and an asset-oriented programming model powered by the Move programming language
dataease
🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
zhouxiaoka
AutoClip : AI-powered video clipping and highlight generation · 一款智能高光提取与剪辑的二创工具
coze-dev
Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from developmen…
shuvonsec
AI-powered bug bounty hunting from your terminal - recon, 20 vuln classes, autonomous hunting, and report generation. All inside Claude Code.
dpgaspar
Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more.…
mylxsw
An APP that integrates mainstream large language models and image generation models, built with Flutter, with fully open-source code.
Marker-Inc-Korea
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation