lucidrains / ResizeRight
The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).
☆17Updated 3 years ago
Alternatives and similar repositories for ResizeRight
Users that are interested in ResizeRight are comparing it to the libraries listed below
Sorting:
- Another attempt at a long-context / efficient transformer by me☆38Updated 3 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51Updated 3 years ago
- Implementation of the Remixer Block from the Remixer paper, in Pytorch☆36Updated 3 years ago
- A convolution-free, transformer-only version of the CycleGAN framework☆33Updated 3 years ago
- Implementation of LogAvgExp for Pytorch☆36Updated last month
- Implementation of Hourglass Transformer, in Pytorch, from Google and OpenAI☆89Updated 3 years ago
- A simple Transformer where the softmax has been replaced with normalization☆20Updated 4 years ago
- An open source implementation of CLIP.☆32Updated 2 years ago
- Local Attention - Flax module for Jax☆22Updated 3 years ago
- ☆21Updated 2 years ago
- ☆28Updated 3 years ago
- A GPT, made only of MLPs, in Jax☆58Updated 3 years ago
- Implementation of some personal helper functions for Einops, my most favorite tensor manipulation library ❤️☆54Updated 2 years ago
- Implementation of Metaformer, but in an autoregressive manner☆25Updated 2 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 4 years ago
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆44Updated last year
- A simple implementation of a deep linear Pytorch module☆21Updated 4 years ago
- Implementation of a holodeck, written in Pytorch☆17Updated last year
- Contrastive Language-Image Pretraining☆38Updated 10 months ago
- A JAX nn library☆21Updated 2 months ago
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆32Updated 2 years ago
- ☆29Updated 2 years ago
- ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.☆56Updated 2 years ago
- A python library for highly configurable transformers - easing model architecture search and experimentation.☆49Updated 3 years ago
- JAX implementation ViT-VQGAN☆83Updated 2 years ago
- Official repository for MaGNET, ICLR 2022☆24Updated 2 years ago
- ☆27Updated 4 years ago
- High performance pytorch modules☆18Updated 2 years ago
- Texture mapping with variational auto-encoders☆40Updated 3 years ago
- PyTorch implementation of Contrastive Feature Loss for Image Prediction (AIM Workshop at ICCV 2021)☆53Updated 3 years ago