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https://azure.microsoft.com/en-us/services/virtual-machines/data-science-virtual-machines/
Google TPU
Amazon
https://github.com/bulutyazilim/awesome-datascience
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
Essential Cheat Sheets for Machine Learning and Deep Learning Engineers
https://github.com/kailashahirwar/cheatsheets-ai
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
dvc + DAGsHub sounds like a good lightweighted way for data version control.
dolthub is another good way for data version control.
Data Versioning, Data Pipelines …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Grafana seems like another great choice!!! https://grafana.com/grafana/download?platform=docker
Prometheus sounds like a good one!
ELKI sounds like a possible tool for monitoring & alerting
Argus another one …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Modules can hold parameters of different types on different devices, so it's not always possible to unambiguously determine the device. The recommended workflow in PyTorch is to create the device object …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
In statistics, a unit root test tests whether a time series variable is non-stationary using an autoregressive model. A well-known test that is valid in large samples is the augmented Dickey …