DeepConvLSTM
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
Install / Use
/learn @STRCWearlab/DeepConvLSTMREADME
DeepConvLSTM
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurrent layers.
In this repository it is presented the architecture of DeepConvLSTM: a deep framework for wearable activity recognition based on convolutional and LSTM recurrent units. To obtain a detailed description of the model, please check the paper "Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition", avaiable at http://www.mdpi.com/1424-8220/16/1/115/html
Instrucction to run the model are included in the DeepConvLSTM notebook.
Related Skills
YC-Killer
2.7kA library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.
best-practices-researcher
The most comprehensive Claude Code skills registry | Web Search: https://skills-registry-web.vercel.app
groundhog
398Groundhog's primary purpose is to teach people how Cursor and all these other coding agents work under the hood. If you understand how these coding assistants work from first principles, then you can drive these tools harder (or perhaps make your own!).
isf-agent
a repo for an agent that helps researchers apply for isf funding
