Machine Learning Basics
A practical set of notebooks on machine learning basics, implemented in both TF2.0 + Keras and PyTorch.
deep-learning natural-language-processing tensorflow pytorch



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Read about our mission statement, features and what we're not.


May 17, 2020

Top down Bert, U2-net, HuggingTweets, ICLR 2020 trends, BLEURT, Feature stores, Plan2Explore and more!

May 10, 2020

Synthesizer, Quantization w/ TF lite, BLINK, NeuralCook, CNN Explainer, Geometric DL, Zero-shot IR and more!

Apr 30, 2020

Transformers on small datasets, custom TF fit, TorchServe, GAN toolkits and research, Gutenburg dialog and more!

Apr 08, 2020

Steal BERT-based models, RaySGD, Illustrated FixMatch, Talking-heads attention, Meta Pseudo Labels and more!

Apr 01, 2020

Torchlayers, Finetune w/ Haiku, Illustrated graph NNs, Viz debugging, NLP Highlights, Text-to-image GAN w/ BERT and more!

Mar 25, 2020

Power normalization, SOLT, Self-supervision w/ fastai, JAX, Visual pre-training, NeRF, LM decoders and more!
Table of Contents