Robbyant/lingbot-map
- Source
- GitHub
- First trending
- Category
- Model inference
- GitHub stars
- 17,065
- Main language
- Python
This page introduces an external open-source repository. It is not an HDATF product.

What it does
A feed-forward model for streaming 3D reconstruction. Its Geometric Context Transformer uses anchor context, a pose reference window and trajectory memory to correct drift over long frame sequences.
How it helps ATF
Not related to our products. Listed because it appeared in the ranked lists.
License
Apache-2.0 Permissive, with a patent grant. Commercial use is allowed; keep the notices and state your changes.
More in this category
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opencodex is a local proxy that translates the Codex Responses API into other providers' formats, including streaming and tool calls. It lets Codex, Claude Code, Claude Desktop and Grok Build run models such as Gemini, DeepSeek or Ollama models. - router-for-me/CLIProxyAPI
A Go proxy server that wraps CLI tools such as Codex, Claude Code, Antigravity and Grok Build behind OpenAI, Gemini and Claude compatible APIs. Compatible clients and SDKs can then reach those models, including through multiple CLI accounts. - drumih/turbo-fieldfare
A Swift and Metal runtime that runs Gemma 4 26B-A4B on Apple Silicon Macs in about 2 GB of RAM. It keeps the shared core and KV cache in memory and streams only the needed experts from SSD. - JustVugg/colibri
An inference engine written in pure C with no engine dependencies that runs large mixture-of-experts models on consumer hardware. It treats VRAM, RAM and storage as one memory hierarchy and streams experts from disk. - MoonshotAI/Kimi-K3
Kimi K3 is an open-weight multimodal Mixture-of-Experts model with 2.8T total and 104B activated parameters and a 1-million-token context window. It understands text, images and video and targets long-horizon coding, knowledge work and reasoning.
Only repositories in the ranked Trendshift lists are included, and the lists are used only to find candidates. We do not copy their ranks. Descriptions, licenses and star counts come from each GitHub repository. The notes are our own reading. We have not tested these projects, and a place on a trending list does not prove quality.