teddykoker / image-gptLinks
PyTorch Implementation of OpenAI's Image GPT
☆258Updated last year
Alternatives and similar repositories for image-gpt
Users that are interested in image-gpt are comparing it to the libraries listed below
Sorting:
- Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper☆153Updated 4 years ago
- Fully featured implementation of Routing Transformer☆297Updated 3 years ago
- Network-to-Network Translation with Conditional Invertible Neural Networks☆225Updated 2 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆486Updated 4 years ago
- Implementation of Feedback Transformer in Pytorch☆107Updated 4 years ago
- Pytorch implementation of the image transformer for unconditional image generation☆118Updated 11 months ago
- Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020.☆125Updated 2 years ago
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆193Updated 4 years ago
- Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"☆446Updated 2 years ago
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆120Updated 4 years ago
- ☆378Updated last year
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆225Updated 3 years ago
- Pytorch implementation of Compressive Transformers, from Deepmind☆162Updated 3 years ago
- VQVAEs, GumbelSoftmaxes and friends☆579Updated 3 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆266Updated 3 years ago
- Official codebase for Pretrained Transformers as Universal Computation Engines.☆249Updated 3 years ago
- Implementation of Barlow Twins paper☆99Updated 2 years ago
- Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.☆322Updated 2 years ago
- This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".☆59Updated 4 years ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆159Updated 4 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆376Updated 4 years ago
- Trains Transformer model variants. Data isn't shuffled between batches.☆143Updated 2 years ago
- Implementation for the Lookahead Optimizer.☆241Updated 3 years ago
- Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)☆105Updated 3 years ago
- A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network☆143Updated 4 years ago
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆305Updated 3 years ago
- Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.☆143Updated last year
- [CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.☆608Updated 2 years ago
- Unofficial PyTorch implementation of Attention Free Transformer (AFT) layers by Apple Inc.☆238Updated 3 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆304Updated 4 years ago