good first issuekind/cleanup
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説明
This issue serves to track the runnable examples in the latest release of Ianvs.
Ianvs includes a wide range of examples showcasing its benchmarking capabilities. So far, I have verified the following examples as runnable and also updated their quick-start documentation guide for easy setup with no errors:
- MOT17/multiedge_inference_bench
- aoa/single_task_bench
- bdd/lifelong_learning_bench
- cifar100/fci_ssl
- cifar100/federated_class_incremental_learning
- cifar100/federated_learning
- cifar100/sedna_federated_learning
- cityscapes/lifelong_learning_bench
- cityscapes/singletask_learning_bench
- cityscapes-synthia/lifelong_learning_bench
- cityscapes-synthia/scene-based-unknown-task-recognition
- cloud-edge-collaborative-inference-for-llm
- government/singletask_learning_bench
- imagenet/multiedge_inference_bench
- llm-agent/singletask_learning_bench
- llm-edge-benchmark-suite/single_task_bench
- llm-edge-benchmark-suite/single_task_bench_with_compression
- llm_simple_qa
- pcb-aoi/incremental_learning_bench
- pcb-aoi/singletask_learning_bench
- robot/lifelong_learning_bench
- robot-cityscapes-synthia/lifelong_learning_bench
- smart_coding/smart_coding_learning_bench
- yaoba/singletask_learning_boost
- yaoba/singletask_learning_yolox_tta
I'll continue updating this list as I verify that the other examples work correctly and update their quick-start documentation as needed.