[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
Run AI models to predict the movements of multiple agents in scenarios like autonomous driving.
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Free · no card · unsubscribe anytime[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
AgentFormer has 315 stars on GitHub. It has been forked 70 times. AgentFormer is written mainly in Python. It has been in active development since 2021. AgentFormer is available under the MIT license. Its main topics are autonomous-driving, deep-learning, iccv2021, multi-agent-forecasting.
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
AgentFormer is an open-source project. It is released under the MIT license.
Yes. AgentFormer is free and open source — you can use, modify and self-host it.
AgentFormer is available under the MIT license.
AgentFormer is written mainly in Python.
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