A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
MIT License
A concise but complete implementation of CLIP with various experimental improvements from recent ...
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with ...
Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", i...
EMNLP 2022: Differentiable Data Augmentation for Contrastive Sentence Representation Learning. ht...
Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image gen...
Adversarially Learned Inference in Pytorch
[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
Visual Attention based OCR
pip install antialiased-cnns to improve stability and accuracy
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in ...
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregress...
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relat...
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
DALL·E Mini - Generate images from a text prompt
Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.