PyTorch deep learning projects made easy.
Role in this project:
ML Engineer Contributions:44 commits, 9 PRs, 38 pushes in 6 months
Contributions summary:Victor focused on building a PyTorch deep learning template. They implemented core training logic, including a base trainer class and a trainer class that handles epoch-wise training. They also integrated the use of a logger, metrics, and validation splits to enhance training efficiency and monitoring. The commits showcase the development of a modular PyTorch project structure with data loading and model definition.
deep-learningpytorchmachine-learning
Contributions:114 commits, 2 comments, 1 issue in 3 months