Stories by perone

Show HN: Episuite, open-source framework for epidemiology in Python

Introduction to gradient-based optimization in Deep Learning [slides]

Slides: Gradient-based optimization in Deep Learning

A new professional ethics: Karl Popper and Xenophanes’ epistemology

A sane introduction to maximum likelihood (MLE) and maximum a posteriori (MAP)

Gandiva, Using LLVM and Arrow to JIT and Evaluate Pandas Expressions

Show HN: Gandiva, Using LLVM and Arrow to JIT and Evaluate Pandas Expressions

A sane introduction to maximum likelihood estimation and MAP

EuclideDB: Machine learning feature database tight coupled with PyTorch

Uncertainty Estimation in Deep Learning

Uncertainty Estimation in Deep Learning [slides]

Uncertainty Estimation in Deep Learning [slides]

Numpy dispatcher: when Numpy becomes a protocol for an ecosystem

Numpy dispatcher: when Numpy becomes a protocol for an ecosystem

PyTorch Under the Hood [slides]

PyTorch Under the Hood

PyTorch under the hood (slides from PyData Montreal)

EuclidesDB v.0.2.0 released, with Faiss support and libtorch 1.0.1

A sane introduction to maximum likelihood estimation and maximum a posteriori

EuclidesDB, a multi-model machine learning feature db integrated with libtorch

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