dnc | TensorFlow implementation of the Differentiable Neural | Machine Learning library

 by   deepmind Python Version: Current License: Apache-2.0

kandi X-RAY | dnc Summary

kandi X-RAY | dnc Summary

dnc is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow applications. dnc has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

The Differentiable Neural Computer is a recurrent neural network. At each timestep, it has state consisting of the current memory contents (and auxiliary information such as memory usage), and maps input at time t to output at time t. It is implemented as a collection of RNNCore modules, which allow plugging together the different modules to experiment with variations on the architecture.
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            kandi-support Support

              dnc has a medium active ecosystem.
              It has 2478 star(s) with 455 fork(s). There are 167 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 7 open issues and 30 have been closed. On average issues are closed in 50 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of dnc is current.

            kandi-Quality Quality

              dnc has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              dnc is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              dnc releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              dnc saves you 472 person hours of effort in developing the same functionality from scratch.
              It has 1120 lines of code, 72 functions and 11 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dnc and discovered the below as its top functions. This is intended to give you an instant insight into dnc implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Return a human - readable representation of the data
            • Calculate the cost of the gaussian cross entropy
            • Calculate the sigmoid cross entropy
            • Connects the graph
            • Read inputs into memory
            • Computes the directional read weights
            • Read weights
            • Build a TemporalLinkageState
            • Construct the link
            • Compute the weights of the precedence weights
            • Build the graph
            • Calculate the usage
            • Calculate the usage after write
            • Connects the query
            • Calculate softmax
            • Connects the module
            • Clips x
            • Builds the graph
            Get all kandi verified functions for this library.

            dnc Key Features

            No Key Features are available at this moment for dnc.

            dnc Examples and Code Snippets

            copy iconCopy
            Input Data:
            [[0. 0. 1. 0. 0. 0.]
             [1. 0. 0. 0. 0. 0.]
             [0. 0. 1. 0. 0. 0.]
             [1. 0. 0. 0. 0. 0.]
             [0. 0. 0. 0. 1. 0.]
             [1. 0. 0. 0. 0. 0.]
             [0. 0. 0. 0. 1. 0.]
             [0. 0. 0. 0. 0. 1.]]
            (Represents: 2 + 0 + 2 + 0 + 4 + 0 + 4)
            Target Data:
            [[ 0.]
             [ 0.]
             [  
            Optimized Differentiable Neural Computer In Chainer,Usage
            Pythondot img2Lines of Code : 12dot img2no licencesLicense : No License
            copy iconCopy
            from lib import DNC
            
            class MyModel(chainer.Chain):
                def __init__(self, input_dim=35, hidden_dim=256, output_dim=32):
                    super(MyModel, self).__init__(
                                         # X, Y, N, W, R, lstm_hidden_dim, K
                        lstm_layer = D  
            Discriminative Neural Clustering (DNC) for Speaker Diarisation,Data generation
            Pythondot img3Lines of Code : 8dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            source venv/bin/activate
            
            python3 datapreperation/gen_augment_data.py --input-scps data/train.scp --input-mlfs data/train.mlf --filtEncomp --maxlen 50 --augment 1000 --varnormalise /path/to/datadir/m50.real.augment
            
            python3 datapreperation/gen_augmen  

            Community Discussions

            QUESTION

            Python: how to merge two different netCdf filles with different spatial resolution?
            Asked 2022-Mar-30 at 15:41

            Is it possible to merge two netCDF files with different spatial resolution?

            I have two datasets.

            The first one is the ESA Land Cover dataset with a spatial resoltion of 300m as netCDF.

            The first one is the population living in Italy with a spatial resolution of 100m from WorldPop as a geoTIFF that I convert as netCDF.

            This is what I am doing

            ...

            ANSWER

            Answered 2022-Mar-30 at 15:41

            There are many ways to do it, but probably the easiest one is by gdalbuildvrt.

            Use gdalbuildvrt - either from the command-line either from the Python library - and build a VRT dataset. Make sure the highest resolution files are listed towards the end - if there is overlapping the final dataset wins.

            Remember to use [-resolution {highest|lowest|average|user}] option.

            Once you have a composite Dataset, use gdal_translate - CLI or Python - to consolidate it to a single monolithic Dataset in your preferred format.

            Don't try to implement this yourself - it is more complicated than it might seem.

            Source https://stackoverflow.com/questions/71664793

            QUESTION

            clear specific cells' content of a list/sheet seeing values from another list/sheet in google sheets
            Asked 2021-Nov-30 at 17:43

            I am sorry if this is really basic, but I have searched a lot and can't find the answer. I am trying to write a script that will clear not delete the specific cells' content (these are column-based i.e., A, B, C, etc) seeing values from another list. Like Phone 1, and phone 3 have a list of numbers, this list should look into another list and if it finds any matching numbers in the list, the script should clear the content in the cell but do not delete the cell.

            These are the images that may help in better understanding. I have managed to find a way that also clears the rows/cells but that also pushes non empty cells above so they do not stay on the same position. I have also tried other methods with "if(keep){ resultArray.push(values1[n])};" like shift,setValue, pop, etc, but then length error popsup (TypeError: Cannot read property 'length' of undefined). A little help will be alot for me. Thanks

            ...

            ANSWER

            Answered 2021-Nov-30 at 17:43

            I'd propose to use textFinder():

            Source https://stackoverflow.com/questions/70173404

            QUESTION

            Altering a query to show the overall sum of the numbers combined
            Asked 2021-Nov-30 at 16:47

            I was wondering if there was a way to alter the below query to show the overall results

            ...

            ANSWER

            Answered 2021-Nov-30 at 16:47

            QUESTION

            Rspec DB View Is Empty
            Asked 2021-Oct-13 at 16:43

            I created a LeadIndex view within my Rails application that is based on my Lead model. When running my test suite (Rspec) the table (db view) is recognized but returns as an empty [] of LeadIndex::ActiveRecord_Relation. The Lead model is showing that there are objects stored within the database, but the view doesn't seem to pick it up.

            For example:

            ...

            ANSWER

            Answered 2021-Oct-13 at 16:43

            Well I am a knucklehead. I figured it out for me. In my SQL query I hard a where clause to bring up results only with an ID that matches my development DB object.

            So when when the test environment made up random IDs for their objects the WHERE clause was filtering out all of them because there was no ID with the exact number that matched my development DB id..

            a big d'oh! Lessons learned.

            Source https://stackoverflow.com/questions/69544253

            QUESTION

            Is there a brute force approach to the defective chessboard problem?
            Asked 2021-Mar-12 at 13:55

            I was looking for a computational problem for an assignment that specifies we need to show both the DnC approach and the brute force approach. I was very interested in "the defective chessboard" which is better explained in this question. Defective chessboard problem - looking for pseudocode algorithm (divide&conquer)

            However, although it has been easy enough to find and understand the D&C approach, I have been struggling to find or create a brute force approach although I did find out that the naive approach has a time complexity of O(n^2).

            The defective chessboard problem is an interesting problem that is can be solved with a “divide and conquer” approach. The naive algorithm has a time complexity of O(n^2).

            Source: https://polaris000.github.io/blog/defective_chessboard

            I was wondering if there is no brute force approach to this question, how is it that we have been able to find the time complexity, and if there is a brute force approach, I would like some guidance on how to go about it.

            ...

            ANSWER

            Answered 2021-Mar-12 at 13:55

            There do exist brute force approaches to this problem.

            For example you could have a function that placed a trionimo covering the first available empty square in all possible orientations, and then called itself recursively to see if there was a solution to filling in the remaining holes.

            However, this would have exponential complexity as it would need to backtrack whenever it became impossible to place a trionimo.

            I think the comment about "the naive algorithm" refers to the fact that the described implementation of the divide and conquer algorithm would have O(n^2) complexity (because O(n^2) trionimos are placed one at a time).

            A more sophisticated implementation of this divide and conquer algorithm could spot that most of the subproblems are identical (solving a square with a single square missing at a corner), so the answer to this subproblem could be cached and reused for lower computational complexity.

            Source https://stackoverflow.com/questions/66597757

            QUESTION

            Getting asynchronous function in external library with callback to work synchronously
            Asked 2021-Mar-11 at 13:22

            I am using a library call to connect to my vendor. The libary call requires a callback in the call. Without a callback in the function, I can easily make this synchronous. With the Callback, everything I do is stuck in the callback and never bubbles it way out.

            I have literally tried 100 different ways to get this to work.

            ...

            ANSWER

            Answered 2021-Mar-11 at 13:22

            Both methods resolve and reject expect parameters, which are res and err in your case.
            As far as removeFromDNC returns a Promise instance, you should call it using either async/await syntax:

            Source https://stackoverflow.com/questions/66556115

            QUESTION

            Auto Copy & Paste to different tabs depending on which option is selected from a dropdown menu
            Asked 2021-Feb-22 at 21:22

            I'm pretty new to Coding but I'm really struggling with this issue. I need the sheet to auto Copy & Paste to different tabs depending on which option is selected from a dropdown menu. I can get one to work perfectly with the code below:

            ...

            ANSWER

            Answered 2021-Feb-22 at 19:32

            In a Google Apps Script project all the files share the same global scope, meaning that variable and function names should have unique names across all files.

            In other words, while renaming each onEdit function to give to each of them an unique name is a step in the right direction you have to do the same with the global variables:

            • destinationSheet
            • check

            Regarding sourceSheet and pasteRange since them have the same value in both files, it's better to keep one declaration of each of this variables and delete the others.

            Source https://stackoverflow.com/questions/66321876

            QUESTION

            Exporting to CSV without formatted blank values
            Asked 2021-Feb-18 at 13:33

            I have a .xlsm with data tabs that's designed to auto populate some cells with data and then export those rows to a CSV file, however when I run my code it copies the entire active range including the cells that have been formatted to be blank and it exports them as commas, I've tried writing the code to delete the commas in the new CSV and I've tried writing the code to not copy over formatted blank values in the first place but nothing so far I've tried has worked.

            So far I've spent a few months on this, and other people on the forums have the same issue but no one seems to have fixed it.

            ...

            ANSWER

            Answered 2021-Feb-18 at 13:33

            QUESTION

            react-select wont display default value
            Asked 2020-Oct-29 at 22:47

            I am trying to display a default value in react-select based on an array of values. I have confirmed that the value is equal to the value I am comparing against. I have looked through this post, this post, this post, this post, this post and this post. Despite the similarities, the defaultValue will still not set. I have confirmed by loggin the result of my comparators that they are the same, both in uppercase, both strings.

            My Select element is

            ...

            ANSWER

            Answered 2020-Oct-29 at 22:47

            The error is in your filter function. You decompose value, and then access value.value. This is undefined.

            Instead, take the option argument without decomposition, and access option.value.

            Source https://stackoverflow.com/questions/64599862

            QUESTION

            react-select change singleValue color based on options
            Asked 2020-Oct-21 at 21:46

            I would like to modify the 'selected' singleValue color in my styles object based on the options that are provided.

            ...

            ANSWER

            Answered 2020-Oct-21 at 21:46

            Use an style map object:

            Source https://stackoverflow.com/questions/64471825

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

            Vulnerabilities

            No vulnerabilities reported

            Install dnc

            You can download it from GitHub.
            You can use dnc like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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            CLONE
          • HTTPS

            https://github.com/deepmind/dnc.git

          • CLI

            gh repo clone deepmind/dnc

          • sshUrl

            git@github.com:deepmind/dnc.git

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