Sigma | Rocket powered machine learning | Machine Learning library

 by   ThinkingTransistor C# Version: v0.5-alpha License: Non-SPDX

kandi X-RAY | Sigma Summary

kandi X-RAY | Sigma Summary

Sigma is a C# library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. Sigma has no bugs, it has no vulnerabilities and it has low support. However Sigma has a Non-SPDX License. You can download it from GitHub.

Rocket powered machine learning. Create, compare, adapt, improve - neural networks at the speed of thought.
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              Sigma has a low active ecosystem.
              It has 107 star(s) with 13 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 6 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Sigma is v0.5-alpha

            kandi-Quality Quality

              Sigma has 0 bugs and 0 code smells.

            kandi-Security Security

              Sigma has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Sigma code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Sigma has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              Sigma releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            Sigma Key Features

            No Key Features are available at this moment for Sigma.

            Sigma Examples and Code Snippets

            Resize images v2 .
            pythondot img1Lines of Code : 175dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def resize_images_v2(images,
                                 size,
                                 method=ResizeMethod.BILINEAR,
                                 preserve_aspect_ratio=False,
                                 antialias=False,
                                 name=None):
              """Resize `images` t  
            Pin a tensor .
            pythondot img2Lines of Code : 126dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def pinv(a, rcond=None, validate_args=False, name=None):
              """Compute the Moore-Penrose pseudo-inverse of one or more matrices.
            
              Calculate the [generalized inverse of a matrix](
              https://en.wikipedia.org/wiki/Moore%E2%80%93Penrose_inverse) using i  
            Performs a non - suppression operation on the given boxes .
            pythondot img3Lines of Code : 86dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def non_max_suppression_with_scores(boxes,
                                                scores,
                                                max_output_size,
                                                iou_threshold=0.5,
                                                score_threshold=flo  

            Community Discussions

            QUESTION

            Can't integrate simple normal distribution in sympy, depending on mean and deviation constants
            Asked 2021-Jun-15 at 19:02

            So... I can sympy.integrate a normal distribution with mean and standard deviation:

            ...

            ANSWER

            Answered 2021-Jun-15 at 01:38

            Here's a close case that works:

            Source https://stackoverflow.com/questions/67978829

            QUESTION

            Trying to blur highest variance point of an image but some conversion problem exist in code
            Asked 2021-Jun-10 at 20:29

            I am trying to blur of highest variance point from the image. I wrote code below. 1st part finds the variance of the image. I checked the resultant variance of an image and it is correct. (I used Lena's image) In 2nd part, I find the highest variance coordinates and send to this Function which finds gaussian blur. When I execute this code, it throws "C:\Tmp\blur_highest_variance.py", line 66, in sigma=15) numpy.core._exceptions.UFuncTypeError: Cannot cast ufunc 'subtract' output from dtype('float64') to dtype('uint8') with casting rule 'same_kind' I tried a few conversions between types but no avail. Can you show me some direction?

            ...

            ANSWER

            Answered 2021-Jun-10 at 18:48

            The error message tells us the line and the reason for the error:

            Traceback (most recent call last):
            File "C:\Tmp\blur_highest_variance.py", line 66, in sigma=15)
            numpy.core._exceptions.UFuncTypeError: Cannot cast ufunc 'subtract' output from dtype('float64') to dtype('uint8') with casting rule 'same_kind'

            It is more simple to debug the code using intermediate variables:
            For example, use an intermediate named gmask:

            Source https://stackoverflow.com/questions/67924044

            QUESTION

            How can I avoid a loop if I need to do a matrix multiplication?
            Asked 2021-Jun-10 at 11:49

            I have the following code:

            ...

            ANSWER

            Answered 2021-Jun-10 at 00:41

            I believe this will work:

            Source https://stackoverflow.com/questions/67907491

            QUESTION

            Sympy.solve provides "AttributeError"
            Asked 2021-Jun-09 at 19:36

            If sigma[i, j] == 0 or sigma[i, j] == 1 it doesnt matter. It only takes the position of non-zero elements. There is a code that provides finding coeffs y1, y2, w1, w2, which are sympy.symbols, of func f by sympy.solve. C - is a matrix.

            The process of creating C-matrix:

            ...

            ANSWER

            Answered 2021-Jun-09 at 19:36

            Since you weren't providing the information I asked for, I tried to write a small test case, seeking to get at the core of your problem.

            Mixing numpy and sympy is tricky and somewhat unpredictable. But sometimes sympy symbols can be used in numpy expressions.

            Source https://stackoverflow.com/questions/67909623

            QUESTION

            Calculation of the first and third quartile
            Asked 2021-Jun-09 at 14:05

            I'm trying to calculate the mean, standard deviation, median, first quartile and third quartile of the lognormal distribution that I fit to my histogram. So far I've only been able to calculate the mean, standard deviation and median, based on the formulas I found on Wikipedia, but I don't know how to calculate the first quartile and the third quartile. How could I calculate in Python the first quartile and the third quartile, based on the lognormal distribution?

            ...

            ANSWER

            Answered 2021-Jun-08 at 20:07

            Given a log-normal distribution, we want to compute its quantiles. Furthermore, the parameters of the log-normal distribution are estimated from data.

            The script below uses OpenTURNS to create the distribution using the LogNormal class. It takes as inputs arguments the mean and standard deviation of the underlying normal distribution. Then we can use the computeQuantile()method to compute the quantiles.

            Source https://stackoverflow.com/questions/67886115

            QUESTION

            Min and Max across multiple columns with NAs
            Asked 2021-Jun-08 at 11:55

            For the following sample data dat, is there a way to calculate min and max while handling NAs. My input is:

            ...

            ANSWER

            Answered 2021-Jun-08 at 11:12

            The following solution seems to work with the transform() function:

            Source https://stackoverflow.com/questions/67885771

            QUESTION

            one component Gaussian fit with python is not working
            Asked 2021-Jun-08 at 07:34

            i have the orange peak that I want to do a Gaussian fit on with the aim of obtaining an estimate of the FWHM and the maximum temperature:

            The function is given by:

            ...

            ANSWER

            Answered 2021-Jun-08 at 07:34

            The typical reason for the fail is: wrong starting parameters. The formulae used here are somewhat those that would be used for a measurement statistic, while the data here has to be considered the according histogram. The use of n, hence, does not make sense. It is more like

            Source https://stackoverflow.com/questions/67836870

            QUESTION

            pyglet gives error regarding GLSL version
            Asked 2021-Jun-08 at 07:05

            I am trying to run a code that has a GUI built with pyglet. but it gives this error. I have searched and found that I need to directly set the version of GLSL to be used by the code but I don't know how. would be happy if you helped me out with it.

            ...

            ANSWER

            Answered 2021-Jun-08 at 07:05

            well it got solved! just needed to add the directive #version 120 at the beginning of the shader like this:

            Source https://stackoverflow.com/questions/67856810

            QUESTION

            R - Apply function to list of lm summaries
            Asked 2021-Jun-07 at 17:41

            I have a list with the summaries of different linear regressions. I want to extract the coefficients and p-values of all the elements of the linear regressions and put them in a dataframe (one dataframe per each element of the lm).

            For example, to extract the coeffcients of the interecpt I am using the follwing:

            ...

            ANSWER

            Answered 2021-Jun-07 at 03:10

            Change your function to -

            Source https://stackoverflow.com/questions/67864253

            QUESTION

            Sum weighted Rayleigh distribution
            Asked 2021-Jun-07 at 12:17

            I simulated data with nrow=1000 (individuals) and ncol=100 (days) for step lengths according to a Pareto distribution function:

            ...

            ANSWER

            Answered 2021-Jun-07 at 12:17

            First, it looks like you have an error in your Rayleigh PDF. It should be:

            Source https://stackoverflow.com/questions/67605521

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Sigma

            You can download it from GitHub.

            Support

            The API-Documentation (of the master-branch) is always available at our Github-Page. If you want it locally available, clone the gh-pages branch.
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            https://github.com/ThinkingTransistor/Sigma.git

          • CLI

            gh repo clone ThinkingTransistor/Sigma

          • sshUrl

            git@github.com:ThinkingTransistor/Sigma.git

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