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Dataset approched by A Benchmark and Frequency Compression Method for Infrared Few-Shot Object Detection
Revolutionizing Learning: An E-Book with Interactive Visualizations for Algorithms & Data Structures 🔬
A multimodal personal assistant that allows Large Language Models (LLMs) to run code locally, acting as an autonomous agent capable of completing and automating tasks via self-prompting
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
WebGL Three.js Cesium.js Examples And Demo - WebGL 的 Three.js 和 Cesium.js 案例 --- Star ---点星星
A curated list of papers, code and resources pertaining to image composition/compositing or object insertion/addition/compositing, which aims to generate realistic composite image.
Manuscript is a revolutionary blockchain data streaming framework. With Manuscript, you can seamlessly integrate on-chain and off-chain data into target data storage for unrestricted querying and a…
Align Anything: Training All-modality Model with Feedback
Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Diffusion Transformer Networks
[CVPR 25] RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai
A highly optimized LLM inference acceleration engine for Llama and its variants.
The official implementation of MARS: Unleashing the Power of Variance Reduction for Training Large Models
以开源为核心的IDaas/IAM平台，用于管理企业内员工账号、权限、身份认证、应用访问，帮助整合部署在本地或云端的内部办公系统、业务系统及三方 SaaS 系统的所有身份，实现一个账号打通所有应用的服务。
[LCLR 2025 Oral] TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio-Motion Embedding and Diffusion Interpolation
[AAAI2025] Official Implementation for "UniPCGC: Towards Practical Point Cloud Geometry Compression via an Efficient Unified Approach"
数据流引擎是一款面向数据集成、数据同步、数据交换、数据共享、任务配置、任务调度的底层数据驱动引擎。数据流引擎采用管执分离、多流层、插件库等体系应对大规模数据任务、数据高频上报、数据高频采集、异构数据兼容的实际数据问题。
数据标注是一款专门对文本数据进行处理和标注的工具，通过简化快捷的文本标注流程和动态的算法反馈，支持用户快速标注关键词并能通过算法持续减少人工标注的成本和时间。数据标注的过程先由人工标注构建基础，再由自动标注反哺人工标注，最后由人工标注进行纠偏，从而大幅度提高标注的精准度和高效性。数据标注需要依赖开源的数字底座进行人员岗位管控。
工作流引擎对内提供单位/机关流程管理规则和内部业务流程的数字化落地实践；对外提供自动化地第三方业务驱动、接口接入和算法单元驱动能力。工作流引擎在提供底层驱动引擎的同时对全局透明监控、安全防御和国产化特色功能进行充分考虑，是内部流程管理和业务算法驱动的不二之选。