katsura-jp / pytorch-cosine-annealing-with-warmup
☆446Updated last year
Alternatives and similar repositories for pytorch-cosine-annealing-with-warmup:
Users that are interested in pytorch-cosine-annealing-with-warmup are comparing it to the libraries listed below
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.☆418Updated 3 months ago
- Learning Rate Warmup in PyTorch☆399Updated this week
- (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"☆808Updated 2 years ago
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆982Updated 3 months ago
- A LARS implementation in PyTorch☆338Updated 4 years ago
- A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model☆548Updated last month
- NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/☆347Updated 11 months ago
- Image Test Time Augmentation with PyTorch!☆990Updated last year
- Implementation of Linformer for Pytorch☆262Updated last year
- An All-MLP solution for Vision, from Google AI☆1,007Updated 4 months ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆634Updated 3 years ago
- An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.☆229Updated 11 months ago
- Unofficial PyTorch implementation of "Meta Pseudo Labels"☆387Updated last year
- EsViT: Efficient self-supervised Vision Transformers☆409Updated last year
- PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057☆1,235Updated 3 years ago
- Unofficial PyTorch Reimplementation of RandAugment.☆631Updated last year
- PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566☆1,173Updated last year
- Ranger deep learning optimizer rewrite to use newest components☆325Updated 11 months ago
- Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch☆1,115Updated last year
- Escaping the Big Data Paradigm with Compact Transformers, 2021 (Train your Vision Transformers in 30 mins on CIFAR-10 with a single GPU!)☆509Updated 2 months ago
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,807Updated 10 months ago
- PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning☆480Updated 2 years ago
- Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)☆454Updated 2 years ago
- A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"☆373Updated 3 years ago
- ☆575Updated 2 months ago
- Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch☆1,787Updated 6 months ago
- PyTorch implementations of `BatchSampler` that under/over sample according to a chosen parameter alpha, in order to create a balanced tra…☆84Updated 5 years ago
- Explainability for Vision Transformers☆887Updated 2 years ago
- PyTorch implementation of some learning rate schedulers for deep learning researcher.☆89Updated 2 years ago
- Implementation of ConvMixer for "Patches Are All You Need? 🤷"☆1,063Updated 2 years ago