buptxieyao

maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization. It can be applied to many important industrial domains, such as container inventory management in logistics, bike repositioning in transportation, virtual machine provisioning in data centers, and asset management in finance. Besides RL, it also supports other planning/decision mechanisms, such as Operations Research. MARO provides comprehensive support in data processing, simulator building, RL algorithm selection, and distributed training.

MobileNetV3_PyTorch

MobileNetV3, PyTorch, pretrained model, on ImageNet 1K.

multigraph_transformer

multi-graph transformer, graph, transformer, graph classification, sketch recognition, sketch classification, free-hand sketch

torchsketch

buptxieyao/maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization. It can be applied to many important industrial domains, such as container inventory management in logistics, bike repositioning in transportation, virtual machine provisioning in data centers, and asset management in finance. Besides RL, it also supports other planning/decision mechanisms, such as Operations Research. MARO provides comprehensive support in data processing, simulator building, RL algorithm selection, and distributed training.

buptxieyao/MobileNetV3_PyTorch

MobileNetV3, PyTorch, pretrained model, on ImageNet 1K.

buptxieyao/multigraph_transformer

multi-graph transformer, graph, transformer, graph classification, sketch recognition, sketch classification, free-hand sketch

buptxieyao/torchsketch