Selected Open Source Projects

(Excluding open-source code for research papers.)

1. PyTorch core developer ( 2017 - 2020; team size <10)
   Data loading, CUDA/CPU kernels, ML ops, API design, autograd optimization, Python binding, etc.

2. CycleGAN and pix2pix in PyTorch maintainer (2018-now)

3. torchreparam developer (2019-2020)
   One of the earliest PyTorch toolkits to re-parametrize neural nets (e.g., for hyper-nets and meta-learning).

4. Awesome-Dataset-Distillation maintainer (2022-now)
   Collection of Dataset Distillation papers in machine learning and vision conferences.

5. torchqmet developer (2022-now)
   PyTorch toolkit for SOTA quasimetric learning.