January 2021: New/Trending ML Repos, Papers and Tools This Month

23 Jan 2021

Repositories

Time series forecasting with PyTorch

Repository: https://github.com/jdb78/pytorch-forecasting

PyCaret: Low code ML library

Repository: https://github.com/pycaret/pycaret

Visualiser for neural network, deep learning, ML models

Repository: https://github.com/lutzroeder/netron

Algorithms for outlier and adversarial instance detection, concept drift and metrics

Repository: https://github.com/SeldonIO/alibi-detect

Add object tracking to any detector

Repository: https://github.com/tryolabs/norfair

Misc

AdaBelief: more efficient Adam optimiser

Save time minimising your loss function

https://arxiv.org/abs/2010.07468?utm_campaign=The%20Batch&utm_medium=email&_hsmi=106462812&_hsenc=p2ANqtz–Eclo76Sve4jBIrILxR9iVKg__i4aEz-509vTBcUtyiV-uFNjqywrcolvkApDwezK9B0SZyEvo7vmde1M3dZKGenWRdw&utm_content=106461878&utm_source=hs_email

PyTorch Lightning

Pytorch but structured

https://towardsdatascience.com/from-pytorch-to-pytorch-lightning-a-gentle-introduction-b371b7caaf09

Hummingbird

Compile trained ML models into tensor computation for faster inference

https://github.com/microsoft/hummingbird

Best of Python libraries for ML

https://github.com/ml-tooling/best-of-ml-python?utm_campaign=Data_Elixir&utm_source=Data_Elixir_319

ML Deployment Model Checklist

https://twolodzko.github.io/ml-checklist