(Unoffical) Implementation of LSTMVAE: Daehyung Park, Yuuna Hoshi, Charles C. Kemp: A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-Based Variational Autoencoder. IEEE Robotics Autom. Lett. 3(2): 1544-1551 (2018)
If you have noticed errors in implementing, or found better hyperparamters/scores, plz let me know via github issues, pull request, or whatever communication tools you'd prefer.
touch secret.py < echo "WANDB_API_KEY={your_wandb_api_key}" # this repo utilizes wandb.
sh run.sh {gpu_id}wandb sweep hptune/NTMul.yaml
CUDA_VISIBLE_DEVICES={gpu_id} wandb agent {sweep_id}F1/F1-PA metrics:
| F1 | F1-PA | |
|---|---|---|
| NeurIPS-TS-MUL | - | - |