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VirTex: Learning Visual Representations from Textual Annotations
We train CNN+Transformer from scratch from COCO, transfer the CNN to 6 downstream vision tasks, and exceed ImageNet features despite using 10x fewer ...
convolutional-neural-networks transformers coco visual-representations
Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX.
onnx pytorch model-serving transformers
BLiTZ — A Bayesian Neural Network library for PyTorch
Bayesian Layers in Torch Zoo is a simple and extensible library to create Bayesian Neural Network layers on the top of PyTorch.
bayesian-deep-learning pytorch blitz bayesian-neural-networks
TransMoMo: Invariance-Driven Unsupervised Motion Retargeting
A lightweight video motion retargeting approach that is capable of transferring motion of a person in a source video realistically to another video of a ...
motion-generation video retargeting transmomo
PyTorch implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!
neural-style-transfer pix2pix cyclegan pytorch
Automatic Data Augmentation for Generalization in Deep RL
We compare three approaches for automatically finding an appropriate augmentation combined with two novel regularization terms for the policy and value ...
data-augmentation reinforcement-learning kornia pytorch
Fast- Neural Style
Pytorch implementation of an algorithm for artistic style transfer.
style-transfer pytorch computer-vision tutorial
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