Help in training an ml model with bugfree code available
Budget: ₹600 – ₹1,500 INR
I need to train a model with a dataset and need help with it. The objective is to guide me to run the available code by ordering it and training it with a dataset on google colab, also provide a document as a read me file to explain it.
The code is of a research paper with the name Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network. The link for the paper is https://paperswithcode.com/paper/sequential-weakly-labeled-multi-activity
Also the verified code is at https://github.com/KennCoder7/Recurrent-Attention-Network-for-HAR and the ipynb notebook is attached below, the snippets are to be reordered in order to run it as per the research paper and train it with Uni-Mib SHAR dataset which is availabe in NumPy format.
The needed documents are attached below
The code is of a research paper with the name Sequential Weakly Labeled Multi-Activity Recognition and Location on Wearable Sensors using Recurrent Attention Network. The link for the paper is https://paperswithcode.com/paper/sequential-weakly-labeled-multi-activity
Also the verified code is at https://github.com/KennCoder7/Recurrent-Attention-Network-for-HAR and the ipynb notebook is attached below, the snippets are to be reordered in order to run it as per the research paper and train it with Uni-Mib SHAR dataset which is availabe in NumPy format.
The needed documents are attached below