fadel / pytorch_emaLinks
Tiny PyTorch library for maintaining a moving average of a collection of parameters.
☆437Updated last year
Alternatives and similar repositories for pytorch_ema
Users that are interested in pytorch_ema are comparing it to the libraries listed below
Sorting:
- A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model☆616Updated 10 months ago
- Learning Rate Warmup in PyTorch☆413Updated 4 months ago
- ☆466Updated 2 years ago
- A PyTorch implementation of the 1d and 2d Sinusoidal positional encoding/embedding.☆257Updated 4 years ago
- A LARS implementation in PyTorch☆352Updated 5 years ago
- (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"☆819Updated 3 years ago
- Implementation of ConvMixer for "Patches Are All You Need? 🤷"☆1,077Updated 2 years ago
- A Pytorch-Lightning implementation of self-supervised algorithms☆546Updated 3 years ago
- An All-MLP solution for Vision, from Google AI☆1,048Updated 3 months ago
- PyTorch implementation of Barlow Twins.☆994Updated 3 years ago
- Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)☆460Updated 3 years ago
- Implementation of Axial attention - attending to multi-dimensional data efficiently☆386Updated 4 years ago
- Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.☆508Updated 2 years ago
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆349Updated last year
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆991Updated last year
- Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch☆1,171Updated 2 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆485Updated 4 years ago
- Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models☆799Updated 4 months ago
- Transformer based on a variant of attention that is linear complexity in respect to sequence length☆801Updated last year
- This is a pytorch implementation of k-means clustering algorithm☆326Updated 7 months ago
- The correct way to resize images or tensors. For Numpy or Pytorch (differentiable).☆564Updated 2 years ago
- Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)☆536Updated 11 months ago
- Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.☆169Updated 7 months ago
- An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow☆608Updated last year
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆500Updated 3 years ago
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆209Updated last year
- Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorc…☆309Updated 3 years ago
- EsViT: Efficient self-supervised Vision Transformers☆412Updated 2 years ago
- Fast, differentiable sorting and ranking in PyTorch☆836Updated 4 months ago
- Ranger deep learning optimizer rewrite to use newest components☆337Updated last year