tf-plan | Planning through backpropagation using TensorFlow | Machine Learning library

 by   thiagopbueno Python Version: 0.7.5 License: GPL-3.0

kandi X-RAY | tf-plan Summary

kandi X-RAY | tf-plan Summary

tf-plan is a Python library typically used in Artificial Intelligence, Machine Learning, Tensorflow applications. tf-plan has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install tf-plan' or download it from GitHub, PyPI.

Planning through backpropagation using TensorFlow.
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            kandi-support Support

              tf-plan has a low active ecosystem.
              It has 12 star(s) with 5 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 17 open issues and 19 have been closed. On average issues are closed in 42 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tf-plan is 0.7.5

            kandi-Quality Quality

              tf-plan has no bugs reported.

            kandi-Security Security

              tf-plan has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              tf-plan is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              tf-plan releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              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 tf-plan and discovered the below as its top functions. This is intended to give you an instant insight into tf-plan implemented functionality, and help decide if they suit your requirements.
            • Main example function
            • Returns a trajectory of states
            • Create a batch of timesteps
            • Build policy ops
            • Builds the graph
            • Build the scenario policy
            • Builds the optimizer
            • Builds the sequence length ops
            • Build warm start op
            • Build the base policy
            • Apply gradients to the optimizer
            • Compute gradients of loss
            • Build trajectory ops
            • Builds the policy ops
            • Returns the contents of the given file
            • Build trajectories
            • Build scenario start states
            • Builds the scenario trajectories
            Get all kandi verified functions for this library.

            tf-plan Key Features

            No Key Features are available at this moment for tf-plan.

            tf-plan Examples and Code Snippets

            No Code Snippets are available at this moment for tf-plan.

            Community Discussions

            QUESTION

            Azure pipelines encountered error(s) while parsing pipeline YAML (Unique Job Name)
            Asked 2020-Aug-12 at 10:06

            In my azure devops project, I have created a pipeline using template. This is the main yaml files for my build pipeline

            ...

            ANSWER

            Answered 2020-Aug-12 at 10:06

            Azure Devops supports passing output variable from one step as next step's inputs. See this ticket:

            We can name a step like this:

            Source https://stackoverflow.com/questions/63372045

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

            Vulnerabilities

            No vulnerabilities reported

            Install tf-plan

            tf-plan is a Python3.5+ package available in PyPI.

            Support

            Please refer to https://tf-plan.readthedocs.io/ for the code documentation.
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            Install
          • PyPI

            pip install tf-plan

          • CLONE
          • HTTPS

            https://github.com/thiagopbueno/tf-plan.git

          • CLI

            gh repo clone thiagopbueno/tf-plan

          • sshUrl

            git@github.com:thiagopbueno/tf-plan.git

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