Focused on image, video, and audio deep learning models and training/deployment systems. I maintain several popular PyTorch (and recently JAX) model repositories.

The model collections are focused on providing pretrained weights for the latest model architectures. I adapt some weights from other organizations and deep learning frameworks but also conduct research and train many of them myself. The models I've been working recently require thousands of GPU-hours to train, tune, and verify.

Training, testing, and maintaining these codebases and model weights requires considerable GPU (or TPU) resources and significant electricity/cooling bills. I don't need funding to put bread on the table, but I do need additional resources to offer and train more models with better techniques. I'm currently working on semi/self-supervised training and transfer learning benchmarking.

If you are an organization who benefits from the models, code, or techniques I publish, please consider contributing so that I can build more.