#rust#fpv#gopro#gpu#gpu_computing#gyroscope#insta360#rolling_shutter_undistortion#rust#sony_alpha_cameras#stabilization#video#video_processing
Gyroflow is a powerful video stabilization software that uses gyroscope data from cameras like GoPro, Sony, and Insta360 to make your videos smooth and steady. It corrects lens distortion, rolling shutter effects, and can even level the horizon for a professional look. You can preview changes in real-time, use GPU acceleration for fast processing, and apply stabilization directly in popular video editors with plugins. It supports many video formats and works on Windows, Mac, Linux, Android, and iOS. Using Gyroflow helps you create high-quality, cinematic videos without bulky equipment or complicated setups[1][3][5].
https://github.com/gyroflow/gyroflow
#database#Neo4j#Spring
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Graph Database : Neo4j with Spring Boot
NoSQL : Neo4j with Java and Spring Framework. Node, Relationship with CRUD Operations & AND, OR, IN Cypher Queries
🔗Link
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Main channel: @repo_science
Coupons: @freecoupons_reposcience
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#python#docker#fastapi#kbqa#kgqa#llms#neo4j#rag#vue
Yuxi-Know (语析) is a free, open-source platform built with LangGraph, Vue.js, FastAPI, and LightRAG to create smart agents using RAG knowledge bases and knowledge graphs. The latest v0.4.0-beta (Dec 2025) adds file uploads, multimodal image support, mind maps from files, evaluation tools, dark mode, and better graph visuals. It helps you quickly build and deploy custom AI agents for Q&A, analysis, and searches without starting from scratch, saving time and effort on development.
https://github.com/xerrors/Yuxi-Know
#rust#ai#ai_ocr#attention_mechanism#gnn#gnn_model#gnns#graph#graph_neural_networks#llm_inference#low_latency#mincut#neo4j#ocr#onnx#rust#vector#wasm
RuVector is a free, open-source vector database that gets smarter with every query. Unlike static databases, it learns from usage via GNN layers, runs LLMs locally with no cloud costs, supports graph queries like Neo4j, scales freely across nodes, and deploys as a single self-booting file (125ms startup). Run with `npx ruvector`. You benefit from faster, more accurate AI search that improves automatically, zero operating costs, full offline/privacy control, and easy scaling—perfect for RAG, agents, or edge apps without vendor lock-in.
https://github.com/ruvnet/ruvector
#python#ai#ai_agents#ai_memory#cognitive_architecture#cognitive_memory#contributions_welcome#good_first_issue#good_first_pr#graph_database#graph_rag#graphrag#help_wanted#knowledge#knowledge_graph#neo4j#open_source#openai#rag#vector_database
Cognee is an open-source AI memory engine that helps improve how AI systems understand and process data. It mimics human cognitive processes, creating "memories" from various data types like text and images. This enhances the accuracy of large language models (LLMs) and allows them to recall past interactions and documents. Cognee is scalable, cost-effective, and integrates easily with existing systems, making it a valuable tool for developers seeking to boost AI performance without relying on expensive APIs.
https://github.com/topoteretes/cognee