chainer | A flexible framework of neural networks for deep learning | Machine Learning library

 by   chainer Python Version: v7.8.1.post1 License: MIT

kandi X-RAY | chainer Summary

kandi X-RAY | chainer Summary

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

Website | Docs | Install Guide | Tutorials (ja) | Examples (Official, External) | Concepts | ChainerX. Forum (en, ja) | Slack invitation (en, ja) | Twitter (en, ja). Chainer is a Python-based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (a.k.a. dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks. It also supports CUDA/cuDNN using CuPy for high performance training and inference. For more details about Chainer, see the documents and resources listed above and join the community in Forum, Slack, and Twitter.

            kandi-support Support

              chainer has a highly active ecosystem.
              It has 5789 star(s) with 1389 fork(s). There are 291 watchers for this library.
              It had no major release in the last 12 months.
              There are 12 open issues and 2030 have been closed. On average issues are closed in 169 days. There are no pull requests.
              It has a negative sentiment in the developer community.
              The latest version of chainer is v7.8.1.post1

            kandi-Quality Quality

              chainer has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              chainer is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              chainer releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed chainer and discovered the below as its top functions. This is intended to give you an instant insight into chainer implemented functionality, and help decide if they suit your requirements.
            • Add documentation for the chainerx .
            • Generate documentation for RNN .
            • Generate documentation for a reshape .
            • Generate documentation for the creation .
            • Set the convolution document .
            • Calculate numerical gradient of inputs .
            • Decorator for static graphs .
            • Generate the dot product of two arrays .
            • Dump a function object .
            • Test for documentation .
            Get all kandi verified functions for this library.

            chainer Key Features

            No Key Features are available at this moment for chainer.

            chainer Examples and Code Snippets

            copy iconCopy
            bash train
            # Preprocessing
            cd ./code/
            ## English
            ## make sure to downalod captions_train2014.json  from the orignal MSCOCO! 
            python \
            --input ../data/MSCOCO/captions_train2014.json \
            --output ../data/MSCOC  
            Chainer Graph CNN,Results
            Pythondot img2Lines of Code : 48dot img2License : Permissive (MIT)
            copy iconCopy
            Using ADAM alpha=1e-4
            epoch       iteration   main/loss   main/accuracy  validation/main/loss  validation/main/accuracy
            1           600         0.515395    0.854901       0.193552              0.9453
            2           1200        0.195267    0.942567        
            copy iconCopy
            python \
            --rnn-model ./data/caption_en_model40.model \
            --cnn-model ./data/ResNet50.model \
            --vocab ./data/MSCOCO/mscoco_caption_train2014_processed_dic.json \
            --gpu -1 \
            --img ./sample_imgs/COCO_val2014_  
            tensorboardX - net-chainer-plain logger
            Pythondot img4Lines of Code : 21dot img4License : Permissive (MIT License)
            copy iconCopy
            import six
            import chainer
            import chainer.functions as F
            from chainer.functions.loss.vae import gaussian_kl_divergence
            import chainer.links as L
            class VAE(chainer.Chain):
                """Variational AutoEncoder"""
                def __init__(self, n_in, n_latent, n_h  

            Community Discussions


            Split dataframe column into equal sublengths and return the new dataframe
            Asked 2022-Apr-11 at 01:24

            I have a dataframe such as below and I want to split the string column into rows each with an equal string of 4 characters.



            Answered 2022-Apr-11 at 00:13


            Invoke Chainer object in Cypress
            Asked 2022-Mar-28 at 21:21

            Is that possible in Cypress to invoke the Chainer to obtain the results of a get request?



            Answered 2022-Mar-28 at 21:21

            You can't do it (not in the same code block).

            You are thinking of the async/await pattern, but Cypress does not support it.

            You can use a beforeEach() block to set a closure variable or an alias.



            How to create a category column and explode that into new rows
            Asked 2022-Mar-09 at 18:02

            I have this extremely messed up dataframe:



            Answered 2022-Mar-09 at 18:02

            Here is a way using stack. First remove the _n from the columns names, then set_index the column id, mask the cell with empty string that would be remove when stacking the data. Then use reset_index and rename to fit the expected output.



            Cypress - Condition depending on json list
            Asked 2022-Jan-14 at 11:48

            I have a json list containing some several hundreds of entries. I want to check whether the list contains a specific entry.

            I tried using .contains as a chainer, but this is not accepted by Cypress:



            Answered 2022-Jan-14 at 11:48


            Getting multiple variables in TensorFlow and other frameworks (overheads)
            Asked 2021-Oct-06 at 08:10

            If I have the following graph and want to get the values of tensors T1 and T2 in TF without eager execution, how would I do this? I only know of eval() or (running that twice could be an option) or tf.print(), but printing is not desired (for performance reasons).

            Especially, how is this functionality implemented in TensorFlow? Does this impose a big overhead towards just getting T2? I would be happy to be pointed to relevant resources as well.

            I'm generally looking for discussions on this -- if people want to add comparisons to how other frameworks do this (Caffe, Torch, CNTK, Theano, Chainer, DyNet, etc.), that's great! In the end, I am trying to understand how these frameworks could be expanded by operators that return operator-specfic metrics that a user can use to monitor training.




            Answered 2021-Oct-06 at 08:10

            you can pass multiple parameters to, and it will run the network once and return each of those parameters.

            For example (from the docs):



            Cypress angular test style inline on a svg
            Asked 2021-Sep-14 at 09:01

            I have to test this svg, now don't ask me why, I need it and I'm doing some tests!



            Answered 2021-Sep-14 at 07:27

            Instead of adding the entire value of the style attribute, you can just add the value that you want to assert using include.



            Cypress test if input field value has multiple lines
            Asked 2021-Sep-06 at 08:38

            I want to check with a cypress test if the value is correct in a single-line text fields and multi-line text area.

            I here have a single line box where I use the code down below to add an input:

            cy.followLabel("When did the incident happen?").type("single \nline");

            Same thing for the multi line text area

            cy.followLabel("Deenter code herescribe what happened").type("multiple \nlines");

            I tried to validate it with .should() but haven't found any chainers that would suit my need.

            Is there something like .contains("\n")?



            Answered 2021-Sep-01 at 12:44

            You can directly check that the innerText has the new line character \n.



            i can't return a response value on my cypress api call
            Asked 2021-Aug-12 at 18:12

            I'm trying to make a cypress api call and get the value to be use on a next stage api call and when i make a return it just send me a big obj of commands

            the call im making is



            Answered 2021-Aug-12 at 18:12

            From the cypress docs:

            So the createNew command must be rewritten to respect the async nature of cy commands.

            Using then



            Cypress command that return values from DOM
            Asked 2021-Jul-15 at 12:39

            In my DOM i have an input and a div, and i want to get the value of both in one command.

            Here is an HTML exemple



            Answered 2021-Jul-15 at 09:01

            You can use .as() to assign an alias for later use.



            DeepPavlov REST API response format is not valid JSON
            Asked 2021-Jul-08 at 16:15

            I currently have a DeepPavlov bot running in a docker container and using the rise RESTAPI.

            My model is based on the English Q&A bot config, but trained on my own Q/A data. It has the identical chainer config.

            It ends with the proba2labels/answers_vocab components:



            Answered 2021-Jul-08 at 16:15

            No, there is no easy way to configure DeepPavlov to do this. You either should change DeepPavlov source code or write your own server with proper response format. In the second case, DeepPavlov model could be used with build_model method.


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


            No vulnerabilities reported

            Install chainer

            To install Chainer, use pip. To enable CUDA support, CuPy is required. Refer to the CuPy installation guide.


            See the contribution guide.
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