WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval.
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
Robotics vision SDK
π¬ OraRL β Annotations as Rollouts for efficient, scalable reinforcement learning of unified video MLLMs.
This repository provides a starter kit for sports intelligence built on NVIDIA AI stack: playbooks, training recipes, and inference for Multimodal Language Models.
Long-term memory for AI coding agents (Claude Code, Codex, opencode) as a tree of plain files