brandokoch / attention-is-all-you-need-paper
Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.
☆231Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for attention-is-all-you-need-paper
- FasterAI: Prune and Distill your models with FastAI and PyTorch☆243Updated last week
- ML Research paper summaries, annotated papers and implementation walkthroughs☆113Updated 2 years ago
- All about the fundamental blocks of TF and JAX!☆271Updated 2 years ago
- Notebooks for the Practicals at the Deep Learning Indaba 2022.☆175Updated 7 months ago
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆82Updated 7 months ago
- Interview Questions and Answers for Machine Learning Engineer role☆118Updated last year
- Materials for workshops on the Hugging Face ecosystem☆150Updated last year
- Host repository for the "Reproducible Deep Learning" PhD course☆404Updated 2 years ago
- A library to inspect and extract intermediate layers of PyTorch models.☆470Updated 2 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆170Updated last year
- An open-source AutoML Library based on PyTorch☆307Updated last month
- this is where we share notebooks/projects used in your youtube channel☆147Updated 3 years ago
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆164Updated 2 years ago
- PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.☆250Updated 4 years ago
- AI Summer's complete catalog of articles☆108Updated 2 years ago
- ☆136Updated 2 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆327Updated 2 years ago
- A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.☆225Updated 4 months ago
- Enabling easy statistical significance testing for deep neural networks.☆329Updated 4 months ago
- Collection of Pytorch lightning tutorial form as rich scripts automatically transformed to ipython notebooks.☆288Updated last week
- The "tl;dr" on a few notable transformer papers (pre-2022).☆189Updated last year
- All about the fundamentals and working of Diffusion Models☆152Updated last year
- deep learning with pytorch lightning☆0Updated last week
- Lightning Bits: Engineering for Researchers repo☆130Updated 2 years ago
- MinT: Minimal Transformer Library and Tutorials☆248Updated 2 years ago
- Serving TensorFlow models with TensorFlow Serving☆44Updated 2 years ago
- Kaggle Pipeline for tabular data competitions☆204Updated 4 months ago
- A collection of inference modules for fastai2☆89Updated 2 years ago
- Some notebooks for NLP☆187Updated last year