Aij | A simple Java AI library for personal use | Machine Learning library

 by   JosephCatrambone Java Version: v0.1.0 License: No License

kandi X-RAY | Aij Summary

kandi X-RAY | Aij Summary

Aij is a Java library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. Aij has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

A small, simple Java AI library with no external requirements.
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            kandi-support Support

              Aij has a low active ecosystem.
              It has 6 star(s) with 0 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              Aij has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Aij is v0.1.0

            kandi-Quality Quality

              Aij has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Aij does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Aij releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              Aij saves you 710 person hours of effort in developing the same functionality from scratch.
              It has 1641 lines of code, 186 functions and 24 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Aij and discovered the below as its top functions. This is intended to give you an instant insight into Aij implemented functionality, and help decide if they suit your requirements.
            • Fit a batch of examples
            • Calculate the gradient for the given node
            • Finalize the network
            • Make an unrolled LSTM
            • Unroll the LSTM step
            • Fit the network using the given learning rate
            • Performs a series of predictions
            • Creates a single run step
            • Reverse forward forward
            • Performs a forward transformation matrix
            • Fit the network
            • Adds a dense layer
            • Restores the attributes from a string
            • Apply transform to a matrix
            • Reverse a matrix
            • Apply a forward transformation matrix
            • Performs a forward operation on the matrix
            • Accumulated gradients
            • Apply a forward matrix to a matrix
            • Adds a deconvolution layer
            • Reverse the reverse matrix
            • Performs a forward projection matrix
            • Makes a run only LSTM
            • Performs a forward convolution
            • Adds a new convolution layer
            • Reverse the inverse
            Get all kandi verified functions for this library.

            Aij Key Features

            No Key Features are available at this moment for Aij.

            Aij Examples and Code Snippets

            Aij,Samples:,Directly Utilizing Compute Graph:
            Javadot img1Lines of Code : 34dot img1no licencesLicense : No License
            copy iconCopy
            Graph g = new Graph();
            InputNode x = new InputNode(1, 1);
            VariableNode m = new VariableNode(1, 1);
            VariableNode b = new VariableNode(1, 1);
            InputNode y = new InputNode(1, 1); // Target.
            
            Node out = new AddNode(b, new MultiplyNode(m, x));
            Node error =  
            Aij,Samples:,Training XOR with the High-Level Wrapper:
            Javadot img2Lines of Code : 22dot img2no licencesLicense : No License
            copy iconCopy
            Model m = new Model(1, 2);
            m.addDenseLayer(10, Model.Activation.TANH);
            m.addDenseLayer(1, Model.Activation.SIGMOID);
            
            double[][] x = new double[][] {
                {0, 0},
                {0, 1},
                {1, 0},
                {1, 1}
            };
            
            double[][] y = new double[][] { {0}, {1}, {1}, {0  

            Community Discussions

            QUESTION

            sum(sum(A.*B)) (matlab notation) in modern fortran
            Asked 2021-Mar-19 at 18:24

            May you suggest me an efficient way to implement

            ...

            ANSWER

            Answered 2021-Mar-19 at 18:23

            The operation you want is just sum(a*b) in Fortran. If a and b are vectors then the result is the dot product. s = a(1)*b(1)+a(2)*b(2)+.. But if they are matrices then I don't know what to call it.

            Here is a quick overview of linear algebra in the two environments

            Operation Matlab Fortran Element Multiplication c = a .* b c = a * b Matrix Product c = a * b c = matmul(a,b) Element Sum sum(sum(c)) sum(c) Transpose a.' transpose(a) Inner Product a.'*b dot_product(a,b) Outer Product a*b.' matmul(a,transpose(b)) Maximum Value max(max(a)) maxval(a) Minimum Value min(min(a)) minval(a)

            By the way, most compilers will recognize the do loops and vectorize them resulting in just as fast code as the above. If fact, in my testing the do-loop method is about 3-5% faster than the compact methods. I usually prefer the compact notation and only if I need to optimize only some specific code I would write out the loops. Remember to compile with AVX2 enabled, and that the compiler unrolls the loops allowing for some more efficient memory access.

            Source https://stackoverflow.com/questions/66713222

            QUESTION

            Split a 3D numpy array to get all series with consecutive values that meet a condition
            Asked 2021-Feb-27 at 06:30

            I want to get all the sequences of number meeting a condition in a 3D array along axis 0. I am trying to vectorize everything if possible to avoid wildly inefficient loops.

            The following code works, it takes array a defined, with shape (6, 2, 3) for example. It applies a mask on it, defined by array b (same dimensions).

            Then, I slice my 3D array along axis 0, so that I have 2*3 1D slices, and thus obtain 6 1D array of shape (6,). In order to do that, I use a loop, which is obviously going to be an efficiency problem with larger arrays.

            I then split my array according to the mask obtained, and select (simple print for now) the series with at least 3 consecutive values meeting the conditions given by the b array.

            ...

            ANSWER

            Answered 2021-Feb-27 at 06:30

            Instead of looping over axis (1,2), you can loop through axis 0 to iteratively check whether the mask holds for consecutive elements. Depending on what exactly you want to achieve in the end, it will take at most n iterations (where n is the longest sequence you have).

            For instance, if you simply want to identify the starting elements of any valid sequence of at least 3 consecutive elements along axis=0 that satisfy mask, you would do:

            Source https://stackoverflow.com/questions/66394057

            QUESTION

            How do I change a certain value in a matrix in Haskell?
            Asked 2021-Jan-17 at 16:13

            I'm very new to Haskell and haven't fully understood how it works yet. In the following method I would like to change a certain value in a matrix or as it is realized in Haskell, a list of lists.

            ...

            ANSWER

            Answered 2021-Jan-17 at 16:13

            First note that there isn't really any need to make this specific to Int-valued matrices: the signature could just as well be

            Source https://stackoverflow.com/questions/65762592

            QUESTION

            Find the number of ways to generate N unique pairs of courses without clashes
            Asked 2020-Oct-25 at 20:57

            I came across this problem and could not think of a good solution. The problem is as follows

            There are N CS courses and N EEE courses, both numbered 1, 2, ... , N.

            For each i, j (1 ≤ i, j ≤ N), the compatibility of CS course i and EEE course j is given as an integer Aij. If Aij = 1, CS course i and EEE course j do not clash; if Aij = 0, they clash.

            Ravan is trying to make N pairs, each containing a CS course and a EEE course that do not clash. Here, each CS course and each EEE course must belong to exactly one pair.

            Find the number of ways in which Ravan can make N pairs, modulo 10^9 + 7.

            ...

            ANSWER

            Answered 2020-Oct-25 at 20:57

            This is just an expansion of @amit's comment that this looks like Inclusion-Exclusion.

            First we take the number of ways to make N pairs. Which is simply N!. In your example, this is 6.

            Source https://stackoverflow.com/questions/64528190

            QUESTION

            Counting the number of flops
            Asked 2020-Oct-12 at 02:28

            For the following pseudocode; I think that the number of flops is 2n^3. However, I am unsure that this is correct as the for loops make me doubt it. (Note: aij and xij represent entries for matrices A and X respectively)

            ...

            ANSWER

            Answered 2020-Oct-12 at 02:28

            This isn't really a matlab question. Here is a brute force way of working it out.

            The inner equation has two flops, so the k loop has 2(n-j+1) flops.

            To do the rest, it helps to know the sum of q from 1 to p is p(p+1)/2 and q^2 from 1 to p is p(p+1)(2p+1)/6.

            The j loop is of 2(n-j+1) for j from 1 to i, so it has 2i(n+1)-i(i+1)=2i(n+1/2)-i^2 flops.

            The overall, or i, loop is a sum of 2i(n+1/2)-i^2, giving n(n+1)(n+1/2) - n(n+1)(2n+1)/6 = n(n+1)(2n+1)/3.

            You can see that this is the same as the sum from 1 to n of 2i^2.

            A way to check this, e.g. in matlab, is to set some n, and put f=0 at the start and replace the inner equation with f=f+2;, then the result will be f=n(n+1)(2n+1)/3.

            Source https://stackoverflow.com/questions/64310399

            QUESTION

            Find all pairs of strings in two lists that contain no common characters
            Asked 2020-Sep-27 at 00:28

            I have two lists of strings, and wish to find all pairs of strings between them that contain no common characters. e.g.

            ...

            ANSWER

            Answered 2020-Sep-26 at 13:59

            Try this and tell me if there is any improvement:

            Source https://stackoverflow.com/questions/64078394

            QUESTION

            Use NumPy for summation where j != i
            Asked 2020-Sep-03 at 06:01

            I have a function where a summation is calculated such that j != i as shown below:

            ...

            ANSWER

            Answered 2020-Sep-03 at 06:01

            Here is vectorize version of your function (it returns the same output as your function minus floating point error):

            Source https://stackoverflow.com/questions/63715974

            QUESTION

            Gekko optimization
            Asked 2020-Jun-20 at 02:42

            I'm solving this optimization problem where I need to figure out how many distribution centers I need to open in order to fulfill the demand of the 12 company facilities, while minimizing the transportation costs. The transportation costs are simply the distance between the distribution centers times the cost per mile, however in this problem, the cost per mile is one dollar. I have 5 choices which are Boston, Nashua, Providence, Springfield and Worcester, these 5 are part of the 12 company facilities.

            I solved the problem and got the correct answer but then I tried to add two constraints to the same code and the answer I get is incorrect. The two other constraints are that the average distance from the distribution centers (DC) to the other facilities (customer) has to be less than 60 miles; and the second constraint is that the percentage of customers within 50 miles has to be greater than 80% (0.8). I know the answer to this problem, the cost has to be $66,781 dollars, the average customer distance is 15 miles and the percentage of customers within 50 miles is 90%. The output of my code is that the cost is $66289 dollars, the average customer distance is 15.36 miles and the percentage of customers within 50 miles is 179%, which doesn't make sense.

            Can you help me figure out why am I getting an odd output? Thanks in advance.

            ...

            ANSWER

            Answered 2020-Jun-20 at 02:42

            There is a message from the solver that it terminated early at 500 iterations when you set m.solve(disp=True). It returns a feasible integer solution but it may not be the best one.

            Source https://stackoverflow.com/questions/62439295

            QUESTION

            Create a square matrix such that each element is equal to 2^|j-k| in R
            Asked 2020-May-20 at 13:36

            I want to implement a command in R which generates a nxn matrix A, such that each element aij = 2^|j-k|. I have the below code but I was wondering if there was something more elegant and precise rather than a nested loop?

            ...

            ANSWER

            Answered 2020-May-20 at 13:36

            Assuming j are rows and k are columns:

            Source https://stackoverflow.com/questions/61913808

            QUESTION

            Implementing backpropagation in Convolutional layer using Numpy
            Asked 2020-May-19 at 22:11

            I'm having trouble with implementing Conv2D backpropagation using Numpy. The shape of the input is [channels, height, width]. The shape of the filters is [n_filters, channels, height, width] This is what I've done in forward propagation:

            ...

            ANSWER

            Answered 2020-May-19 at 22:11

            I managed to find a solution, the tensordot for calculating dA is taking too much time but at least it's working.

            Source https://stackoverflow.com/questions/61873379

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

            Vulnerabilities

            No vulnerabilities reported

            Install Aij

            You can download it from GitHub.
            You can use Aij like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Aij component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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