Pinned Loading
-
cairn-driving-log-selfhosted
cairn-driving-log-selfhosted PublicA driving log for your own car, kept on your own computer: an OBD-II dongle, your iPhone as the relay, a server you run and a web dashboard. No cloud, no account. This is the front door: docs, road…
Go
-
journey-atlas
journey-atlas PublicRender a print-ready keepsake road-trip map — route, ferries, stays, sights, weather & blow-up insets — from one JSON file, over 15 basemaps.
Svelte
-
bmw-ista-llm-bridge
bmw-ista-llm-bridge PublicCapture BMW ISTA diagnostic sessions and package them for LLM-assisted vehicle troubleshooting
Go
-
OrthoRoute-Metal
OrthoRoute-Metal PublicForked from bbenchoff/OrthoRoute
Apple Metal GPU backend for OrthoRoute PCB autorouter -- GPU-accelerated shortest-path routing on Apple Silicon (M1/M2/M3/M4) using Metal Shading Language, replacing CUDA/CuPy. 3.7x faster than RTX…
Python
-
openwrt-engenius-ews377ap-ecw230-ews377fit
openwrt-engenius-ews377ap-ecw230-ews377fit PublicOpenWrt with NSS hardware offload for EnGenius EWS377AP v3, ECW230v3 & EWS377-FIT (IPQ8072A, ap-hk07). 4×4 Wi-Fi 6, 2.5 GbE, kernel 6.18. Alpha — hardware-validated on EWS377AP v3. Community tester…
Zig
-
If you are running a custom Synology...
If you are running a custom Synology DVA build (DVA3221 or DVA3219, via Proxmox, ESXi, or baremetal Xpenology/ARC loader) with a dedicated NVIDIA GPU, you may encounter an issue where Surveillance Station's Deep Learning analytics (DVA) fail to load or crash. 1# Fixing Synology DVA AI Inference with Community NVIDIA GPU Drivers23If you are running a custom Synology DVA build — **DVA3221** or **DVA3219** via Proxmox, ESXi, or bare metal Xpenology/ARC loader — with a dedicated NVIDIA GPU, you may hit a frustrating issue: **Surveillance Station Deep Learning analytics fail to load, crash, or silently do nothing**.
45This guide provides a clean, standalone fix that restores native DVA AI inference while keeping the broader GPU compatibility and modern transcoding benefits of the community NVIDIA driver.
If the problem persists, check the GitHub status page or contact support.



