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Machine Learning Jargon

asun9.com · published 4 March 2024

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https://developers.google.com/machine-learning/crash-course/embeddings/video-lecture

developers.google.com

https://learn.microsoft.com/en-us/training/modules/intro-natural-language-processing-pytorch/4-embeddings

learn.microsoft.com

Simon Willison’s primer on embeddings Read at the source ↗

simonwillison.net

https://vickiboykis.com/what_are_embeddings/

vickiboykis.com

https://nlp.stanford.edu/IR-book/html/htmledition/tokenization-1.html

nlp.stanford.edu

http://arxiv.org/pdf/1512.03385.pdf

arxiv.org

https://machinelearningmastery.com/the-attention-mechanism-from-scratch/

machinelearningmastery.com

https://e2eml.school/transformers.html

e2eml.school

https://arxiv.org/abs/1312.6114

arxiv.org

https://medium.com/@sofeikov/implementing-variational-autoencoders-from-scratch-533782d8eb95

medium.com

https://huggingface.co/docs/diffusers/stable_diffusion

huggingface.co

The Annotated Diffusion Model Read at the source ↗

huggingface.co

Stable Diffusion with 🧨 Diffusers Read at the source ↗

huggingface.co

https://arxiv.org/abs/2006.11239

arxiv.org

https://arxiv.org/abs/2112.10752

arxiv.org

What are Diffusion Models? Read at the source ↗

lilianweng.github.io

https://nn.labml.ai/diffusion/stable_diffusion/model/unet.html

nn.labml.ai

The Illustrated Stable Diffusion Read at the source ↗

jalammar.github.io

A Recipe for Training Neural Networks Read at the source ↗

karpathy.github.io

http://karpathy.github.io/2015/05/21/rnn-effectiveness/

karpathy.github.io

https://github.com/fastai/fastbook/blob/master/12_nlp_dive.ipynb

github.com

https://explained.ai/rnn/index.html

explained.ai

Transformers from scratch Read at the source ↗

peterbloem.nl

https://gist.github.com/veekaybee/be375ab33085102f9027853128dc5f0e

gist.github.com

https://gist.github.com/rain-1/eebd5e5eb2784feecf450324e3341c8d

gist.github.com

GPT in 60 Lines of NumPy Read at the source ↗

jaykmody.com

https://arxiv.org/abs/2212.09748

arxiv.org