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  2. PyTorch Lightning - Wikipedia

    en.wikipedia.org/wiki/PyTorch_Lightning

    PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. [1] It is a lightweight and high-performance framework that organizes PyTorch code to decouple research from engineering, thus making deep learning experiments easier to read and reproduce.

  3. Early stopping - Wikipedia

    en.wikipedia.org/wiki/Early_stopping

    Early-stopping can be used to regularize non-parametric regression problems encountered in machine learning. For a given input space, X {\displaystyle X} , output space, Y {\displaystyle Y} , and samples drawn from an unknown probability measure, ρ {\displaystyle \rho } , on Z = X × Y {\displaystyle Z=X\times Y} , the goal of such problems is ...

  4. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. [ 23 ] PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo , a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and ...

  5. Torch (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Torch_(machine_learning)

    The torch package also simplifies object-oriented programming and serialization by providing various convenience functions which are used throughout its packages. The torch.class(classname, parentclass) function can be used to create object factories ().

  6. Loop-erased random walk - Wikipedia

    en.wikipedia.org/wiki/Loop-erased_random_walk

    Let T be some stopping time for R. Then the loop-erased random walk until time T is LE(R([1,T])). In other words, take R from its beginning until T — that's a (random) path — erase all the loops in chronological order as above — you get a random simple path. The stopping time T may be fixed, i.e. one may perform n steps and

  7. Optimal stopping - Wikipedia

    en.wikipedia.org/wiki/Optimal_stopping

    In mathematics, the theory of optimal stopping [1] [2] or early stopping [3] is concerned with the problem of choosing a time to take a particular action, in order to maximise an expected reward or minimise an expected cost.

  8. Dynamic time warping - Wikipedia

    en.wikipedia.org/wiki/Dynamic_time_warping

    DP matching is a pattern-matching algorithm based on dynamic programming (DP), which uses a time-normalization effect, where the fluctuations in the time axis are modeled using a non-linear time-warping function. Considering any two speech patterns, we can get rid of their timing differences by warping the time axis of one so that the maximal ...

  9. Pearson–Anson effect - Wikipedia

    en.wikipedia.org/wiki/Pearson–Anson_effect

    Pearson-Anson oscillator circuit. The Pearson–Anson effect, discovered in 1922 by Stephen Oswald Pearson [1] and Horatio Saint George Anson, [2] [3] is the phenomenon of an oscillating electric voltage produced by a neon bulb connected across a capacitor, when a direct current is applied through a resistor. [4]