The Kunlunxin Autonomous Driving (AD) Team is committed to advancing the development of autonomous driving technologies by utilizing cutting-edge model acceleration capabilities. Our mission is to connect physical & digital worlds, build a Kunlunxin-powered AI Innovation Platform, and accelerate Physical AI (autonomous driving, robotics, embodied intelligence). This repository serves as a central hub for our pioneering projects, with a core focus on model acceleration — including advancements in End-to-End (E2E) Models, VLA Models, World Models, and other key technologies for autonomous driving systems.
KunlunxinAD
Kunlunxin Autonomous Driving (AD) Team
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Repositories
Showing 9 of 9 repositories
- xav-models-tutorials Public
A dedicated repository for tutorials and documentation for XPU-accelerated models.
KunlunxinAD/xav-models-tutorials’s past year of commit activity - verl-recipe Public Forked from verl-project/verl-recipe
A set of examples based on verl for end-to-end RL training recipes.
KunlunxinAD/verl-recipe’s past year of commit activity - xav-vLLM Public Forked from baidu/vLLM-Kunlun
vLLM Kunlun (vllm-kunlun) is a community-maintained hardware plugin designed to seamlessly run vLLM on the Kunlun XPU.
KunlunxinAD/xav-vLLM’s past year of commit activity - cosmos-rl Public Forked from nvidia-cosmos/cosmos-rl
Cosmos-RL is a flexible and scalable Reinforcement Learning framework specialized for Physical AI applications.
KunlunxinAD/cosmos-rl’s past year of commit activity - RLinf Public Forked from RLinf/RLinf
RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning.
KunlunxinAD/RLinf’s past year of commit activity - xav-dsal-open Public
KunlunxinAD/xav-dsal-open’s past year of commit activity - .github Public
KunlunxinAD/.github’s past year of commit activity
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