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