gordicaleksa / pytorch-original-transformerLinks
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
☆1,080Updated 5 years ago
Alternatives and similar repositories for pytorch-original-transformer
Users that are interested in pytorch-original-transformer are comparing it to the libraries listed below
Sorting:
- Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)☆1,093Updated 9 months ago
- Pytorch Lightning code guideline for conferences☆1,284Updated 2 years ago
- PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.☆265Updated 5 years ago
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆447Updated 4 years ago
- PyTorch implementation of some attentions for Deep Learning Researchers.☆547Updated 3 years ago
- Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…☆241Updated last year
- ☆828Updated 9 months ago
- Paper implementations from scratch and machine learning tutorials☆348Updated 2 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 years ago
- Pytorch library for fast transformer implementations☆1,757Updated 2 years ago
- PyTorch tutorials and best practices.☆1,709Updated 9 months ago
- Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.☆865Updated 4 months ago
- An unofficial styleguide and best practices summary for PyTorch☆2,004Updated 4 years ago
- All about the fundamental blocks of TF and JAX!☆276Updated 4 years ago
- Reformer, the efficient Transformer, in Pytorch☆2,193Updated 2 years ago
- 🧠 A study guide to learn about Transformers☆1,626Updated 2 years ago
- An implementation of Performer, a linear attention-based transformer, in Pytorch☆1,171Updated 3 years ago
- FrancescoSaverioZuppichini / Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDictCode for my medium article☆375Updated 5 years ago
- Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.☆320Updated 5 months ago
- High-quality Neural Networks for Computer Vision 😎☆447Updated 3 years ago
- Generic template to bootstrap your PyTorch project.☆650Updated 2 years ago
- Hopfield Networks is All You Need☆1,891Updated 2 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆343Updated 3 years ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,231Updated 2 years ago
- Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras☆355Updated 3 years ago
- Attention Is All You Need | a PyTorch Tutorial to Transformers☆362Updated last year
- Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep lear…☆1,159Updated 2 years ago
- Transformer based on a variant of attention that is linear complexity in respect to sequence length☆823Updated last year
- 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,269Updated 3 years ago
- Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presenta…☆1,514Updated 4 years ago