![]() This also ensures that your work is backed up in case of data loss. ipynb notebooks or upload them to Kaggle, or Google Colab. YOLO-tiny, YOLO-small, YOLO-large, etc.). ![]() For example, if you downloaded YOLO model, a popular pretrained computer vision model, it comes with lots of large weight files for each version (i.e. Model weights - Delete unused pretrained model weights.And, delete the virtual environment folder for now. Document all the packages you installed for the project to file for later reinstallation purposes. There are lots of python packages we install for each ML project. virtualenv- Delete unused virtual environments.Launch and login to Docker Desktop using UI. This also ensures that you have a clean slate for new experiments. If you are doing experiment tracking with W&B, it will automatically create a folder in your project directory. Weights and Biases - Delete run history.8 Things to Delete from Your Machine Learning/Data Science Computer: ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |