WhistleLabs/FilterNet
Deep learning architecture for computationally efficient activity recognition as described in the paper FilterNet: A many-to-many deep learning architecture for time series classification
Jupyter Notebook
Stargazers
- agmose
- agnes-yang
- arwalls@WhistleLabs
- christianjungeSan Francisco, CA
- DavidDataScientist
- dawhistle@WhistleLabs
- gglin001
- gitwhistle
- hajar-hajjimines nancy
- Huii
- lglass
- lia-MW79Uruguay
- Ma-Chenbin
- nateyoderGoogle
- nguyen-brian
- odellus@phytomech
- oguizatimeseriesAI
- Oussamab21
- praveenv4k
- renjiniramesh
- robchambersSeattle, WA
- RomainBignotti
- showkeyjar北京
- shyamsn97
- SIV4K
- sssandyjiang
- waldeyrPresidência da República
- whitegoast