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  2. ArviZ - Wikipedia

    en.wikipedia.org/wiki/ArviZ

    Integration with established probabilistic programming languages including; PyStan (the Python interface of Stan), PyMC, [15] Edward [16] Pyro, [17] and easily integrated with novel or bespoke Bayesian analyses. ArviZ is also available in Julia, using the ArviZ.jl interface

  3. Probabilistic programming - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_programming

    Probabilistic programming (PP) is a programming paradigm in which probabilistic models are specified and inference for these models is performed automatically. [1] It represents an attempt to unify probabilistic modeling and traditional general purpose programming in order to make the former easier and more widely applicable.

  4. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    A number of pieces of deep learning software are built on top of PyTorch, including Tesla Autopilot, [15] Uber's Pyro, [16] Hugging Face's Transformers, [17] PyTorch Lightning, [18] [19] and Catalyst. [20] [21] PyTorch provides two high-level features: [22] Tensor computing (like NumPy) with strong acceleration via graphics processing units (GPU)

  5. Probabilistic logic programming - Wikipedia

    en.wikipedia.org/.../Probabilistic_logic_programming

    The probabilistic logic programming language P-Log resolves this by dividing the probability mass equally between the answer sets, following the principle of indifference. [4] [6] Alternatively, probabilistic answer set programming under the credal semantics allocates a credal set to every query. Its lower probability bound is defined by only ...

  6. Differentiable programming - Wikipedia

    en.wikipedia.org/wiki/Differentiable_programming

    Differentiable programming has been applied in areas such as combining deep learning with physics engines in robotics, [12] solving electronic structure problems with differentiable density functional theory, [13] differentiable ray tracing, [14] image processing, [15] and probabilistic programming. [5]

  7. Probabilistic numerics - Wikipedia

    en.wikipedia.org/wiki/Probabilistic_numerics

    Bayesian optimization of a function (black) with Gaussian processes (purple). Three acquisition functions (blue) are shown at the bottom. [19]Probabilistic numerics have also been studied for mathematical optimization, which consist of finding the minimum or maximum of some objective function given (possibly noisy or indirect) evaluations of that function at a set of points.

  8. Prisoners of Profit - The Huffington Post

    projects.huffingtonpost.com/prisoners-of-profit?...

    In 2001, an 18-year-old committed to a Texas boot camp operated by one of Slattery’s previous companies, Correctional Services Corp., came down with pneumonia and pleaded to see a doctor as he struggled to breathe.

  9. Python Robotics - Wikipedia

    en.wikipedia.org/wiki/Python_Robotics

    Python Robotics (Pyro) is a project designed to create an easy-to-use interface for accessing and controlling a wide variety of real and simulated robots. History [ edit ]