- Transformers Network in Clojure without libpython/libjulia? http://nlp.seas.harvard.edu/2018/04/03/attention.html 3 comments clojure
Linking pages
- Transformers from scratch | peterbloem.nl http://peterbloem.nl/blog/transformers 40 comments
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-transformer/ 36 comments
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-transformer/ 36 comments
- Transformers are Graph Neural Networks https://thegradient.pub/transformers-are-graph-neural-networks/ 25 comments
- ML Resources https://sgfin.github.io/learning-resources/ 21 comments
- Transformers are Graph Neural Networks | NTU Graph Deep Learning Lab https://graphdeeplearning.github.io/post/transformers-are-gnns/ 19 comments
- GitHub - amitness/learning: A log of things I'm learning https://github.com/amitness/learning 17 comments
- How Transformers Work. Transformers are a type of neural… | by Giuliano Giacaglia | Towards Data Science https://medium.com/@giacaglia/transformers-141e32e69591 17 comments
- How Transformers Work. Transformers are a type of neural… | by Giuliano Giacaglia | Towards Data Science https://towardsdatascience.com/transformers-141e32e69591 6 comments
- GitHub - lucidrains/vit-pytorch: Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch https://github.com/lucidrains/vit-pytorch#vision-transformer-for-small-datasets 3 comments
- The Annotated GPT-2 | Committed towards better future https://amaarora.github.io/2020/02/18/annotatedGPT2.html 2 comments
- A detailed guide to PyTorch’s nn.Transformer() module. | by Daniel Melchor | Towards Data Science https://towardsdatascience.com/a-detailed-guide-to-pytorchs-nn-transformer-module-c80afbc9ffb1 1 comment
- GitHub - guillaume-chevalier/Awesome-Deep-Learning-Resources: Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier https://github.com/guillaume-chevalier/awesome-deep-learning-resources 1 comment
- Generating music with AI (or transformers go brrrr) | by Alexander Mamaev | Medium https://alxmamaev.medium.com/generating-music-with-ai-or-transformers-go-brrrr-3a3ac5a04126 1 comment
- GitHub - vlgiitr/DL_Topics: List of DL topics and resources essential for cracking interviews https://github.com/vlgiitr/DL_Topics 1 comment
- GitHub - louisfb01/start-llms: A complete guide to start and improve your LLM skills in 2023 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques! https://github.com/louisfb01/start-llms 1 comment
- Lernapparat - Machine Learning https://lernapparat.de/transformers-pytorch-tvm/ 0 comments
- Understanding einsum for Deep learning: implement a transformer with multi-head self-attention from scratch | AI Summer https://theaisummer.com/einsum-attention/ 0 comments
- GitHub - dair-ai/Transformers-Recipe: 🧠 A quick recipe to learn all about Transformers https://github.com/dair-ai/Transformers-Recipe 0 comments
- Aman's AI Journal • Primers • Transformers https://aman.ai/primers/ai/transformers/ 0 comments
Linked pages
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- PyTorch http://pytorch.org/ 100 comments
- [1609.08144] Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation http://arxiv.org/abs/1609.08144 97 comments
- [1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
- [1512.00567] Rethinking the Inception Architecture for Computer Vision http://arxiv.org/abs/1512.00567 1 comment
- GitHub - OpenNMT/OpenNMT-py: Open Source Neural Machine Translation in PyTorch https://github.com/OpenNMT/OpenNMT-py 0 comments
- OpenNMT - Open-Source Neural Machine Translation http://opennmt.net 0 comments
- GitHub - tensorflow/tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. https://github.com/tensorflow/tensor2tensor 0 comments
- [1412.6980] Adam: A Method for Stochastic Optimization http://arxiv.org/abs/1412.6980 0 comments
- [1409.0473] Neural Machine Translation by Jointly Learning to Align and Translate http://arxiv.org/abs/1409.0473 0 comments
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