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[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A Collection of useful Methods in Java
Image-to-Image Translation in PyTorch
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
PaddleSlim is an open-source library for deep model compression and architecture search.
A curated list for Efficient Large Language Models
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch