Nadam

PyTorch documentation

Implements NAdam algorithm. For further details regarding the algorithm we refer to Incorporating Nesterov Momentum into Adam . params ( iterable ) – iterable of parameters to optimize or dicts defini...

RAdam

PyTorch documentation

Implements RAdam algorithm. For further details regarding the algorithm we refer to On the variance of the adaptive learning rate and beyond . params ( iterable ) – iterable of parameters to optimize ...

The Math Behind Nadam Optimizer

Towards Data Science

In our previous discussion on the Adam optimizer, we explored how Adam has transformed the optimization landscape in machine learning with its adept handling of adaptive learning rates. Known for its…...

Adam — latest trends in deep learning optimization.

Towards Data Science

Adam [1] is an adaptive learning rate optimization algorithm that’s been designed specifically for training deep neural networks. First published in 2014, Adam was presented at a very prestigious…

Reading REDATAM databases in R

R-bloggers

REDATAM REDATAM (Retrieval of Data for Small Areas by Microcomputer) is a data storage and retrieval system created by ECLAC and it is widely used by national statistics offices to store and manipulat...

Adamax

PyTorch documentation

Implements Adamax algorithm (a variant of Adam based on infinity norm). For further details regarding the algorithm we refer to Adam: A Method for Stochastic Optimization . params ( iterable ) – itera...

‘NaN’ You May Not Know

Level Up Coding

When we use Reflect.getOwnPropertyDescriptor to get the property descriptor of NaN, it tells us that NaN is not deleteable, not changeable, not enumerable. So when we try to delete it using…

Recap: Exploring Clinical Submissions With Admiral: An R-Based ADaM Solution With Ben Straub

R-bloggers

Have you been looking for a more efficient way to create ADaM (Analysis Data Model) datasets for your clinical trial submissions? Look no further than Admiral, an open-source R package. In our latest ...

What’s the best way to handle NaN values?

Towards Data Science

While doing my practice in Big Data Analysis I found an obstacle that can destroy every data analysis process. This obstacle is known as NaN values in Data Science and Machine Learning. NaN or Not a…

nanonext for Cross-language Data Exchange

R-bloggers

Shikokuchuo {nanonext} is an R package available on CRAN which provides bindings to the C library NNG (Nanomsg Next Gen), a successor to ZeroMQ. Designed for performance and reliability, the NNG libra...

The REDATAM format and its challenges for data access and information creation in public policy

R-bloggers

I am glad to share my 1st PhD article in collaboration with Lital Barkai: http://dx.doi.org/10.1017/dap.2025.4. Abstract The REDATAM (retrieval of data for small areas by microcomputer) statistical pa...

What is the type of NaN?

Level Up Coding

A while ago I was answering an interesting question on Stack Overflow about the type of NaN. And indeed if you type in your browser console typeof NaN === 'number' you'll get true. The comments to…