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Two-Way Traffic
An insane railway design in which one carriage passes another by passing over the top of it.
railways  trains  design  engineering 
18 hours ago by robmiller
Reversing single phase induction motors
Reversing single phase induction motors Since my AC motors article , I have often been asked about how to reverse an AC induction motor.I didn't cover how…
electrical  engineering  electromagnetic  induction  motors 
yesterday by asaltydog
Induction motor - Wikipedia
Three-phase totally enclosed fan-cooled ( TEFC ) induction motor with end cover on the left, and without end cover to show cooling fan. In TEFC motors, interior…
electrical  engineering  electromagnetic  induction  motors 
yesterday by asaltydog
Commutator (electric) - Wikipedia
This article is about the electrical component. For mathematical concept, see Commutator . Commutator in a universal motor from a vacuum cleaner. Parts: (A)…
electrical  engineering  components  electromagnetic  switches  commutators 
yesterday by asaltydog
How DC motors (universal motors) work
How DC motors (universal motors) work I often get asked questions about motors, so I figured I'd do an articleand video about how they work. There are two main…
electrical  engineering  electromagnetic  motors 
yesterday by asaltydog
How AC induction motors work
How AC induction motors work I previously covered how DC motors work , but AC induction motors are actually much more useful for homemade machinessuch as…
electrical  engineering  electromagnetic  induction  motors 
yesterday by asaltydog
Edward – Home
A library for probabilistic modeling, inference, and criticism.

Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming.

It supports modeling with

Directed graphical models
Neural networks (via libraries such as Keras and TensorFlow Slim)
Implicit generative models
Bayesian nonparametrics and probabilistic programs
ai  engineering  mathematics  model 
2 days ago by janpeuker

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