behavenet icon indicating copy to clipboard operation
behavenet copied to clipboard

Toolbox for analyzing behavioral videos and neural activity

Results 10 behavenet issues
Sort by recently updated
recently updated
newest added

Thank you for providing the code! I'd like to run it using multiple GPUs with my own dataset, but I encountered the following error: —--- DATA CONFIG: lab: han expt:...

Bumps [torch](https://github.com/pytorch/pytorch) from 1.3.1 to 1.13.1. Release notes Sourced from torch's releases. PyTorch 1.13.1 Release, small bug fix release This release is meant to fix the following issues (regressions /...

dependencies

Bumps [torch](https://github.com/pytorch/pytorch) from 1.3.1 to 1.13.1. Release notes Sourced from torch's releases. PyTorch 1.13.1 Release, small bug fix release This release is meant to fix the following issues (regressions /...

dependencies

Bumps [scipy](https://github.com/scipy/scipy) from 1.3.0 to 1.10.0. Release notes Sourced from scipy's releases. SciPy 1.10.0 Release Notes SciPy 1.10.0 is the culmination of 6 months of hard work. It contains many...

dependencies

Bumps [requests](https://github.com/psf/requests) from 2.22.0 to 2.31.0. Release notes Sourced from requests's releases. v2.31.0 2.31.0 (2023-05-22) Security Versions of Requests between v2.3.0 and v2.30.0 are vulnerable to potential forwarding of Proxy-Authorization...

dependencies

Bumps [numpy](https://github.com/numpy/numpy) from 1.17.4 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Bumps [notebook](http://jupyter.org) from 6.4.1 to 6.4.12. [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=notebook&package-manager=pip&previous-version=6.4.1&new-version=6.4.12)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a...

dependencies

remove the hardcoded conditional requiring n_epochs==200

Trying to make a PR primarily for the file behavenet/models/hierarchical_decoders.py

When trying to fit the CAE on my own data, I've run into a roadblock running a simple grid search to train the autoencoder. Filled out stuff and ran jupyter...