City2graph
c2g-dev
Transform geospatial relations into graphs for Graph Neural Networks and network analysis
OPENAGENTSKILL / DIRECTORY
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Results: 97
c2g-dev
Transform geospatial relations into graphs for Graph Neural Networks and network analysis
AkashSingh3031
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Qu…
memvid
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Canner
Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data s…
gravitl
Netmaker makes networks with WireGuard. Netmaker automates fast, secure, and distributed virtual networks.
libvips
A fast image processing library with low memory needs.
MervinPraison
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deplo…
skorch-dev
A scikit-learn compatible neural network library that wraps PyTorch
parca-dev
Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing…
Marker-Inc-Korea
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
huanghaibin-dev
RecyclerView? ListView or ViewGroup? No, it's Canvas! Ultra performance and free customization interface! Vertical and horizontal, Fast rendering and extremely low memor…
dusty-nv
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
ruvnet
RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.
pguso
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
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