ffjord | code `` FFJORD : Free-form Continuous Dynamics | Reinforcement Learning library

 by   rtqichen Python Version: Current License: MIT

kandi X-RAY | ffjord Summary

kandi X-RAY | ffjord Summary

ffjord is a Python library typically used in Artificial Intelligence, Reinforcement Learning, Deep Learning applications. ffjord has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ffjord build file is not available. You can download it from GitHub.

Code for reproducing the experiments in the paper:. Will Grathwohl*, Ricky T. Q. Chen*, Jesse Bettencourt, Ilya Sutskever, David Duvenaud. "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models." International Conference on Learning Representations (2019). [arxiv] [bibtex].
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            kandi-support Support

              ffjord has a low active ecosystem.
              It has 573 star(s) with 127 fork(s). There are 30 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              ffjord has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ffjord is current.

            kandi-Quality Quality

              ffjord has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ffjord 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

              ffjord releases are not available. You will need to build from source code and install.
              ffjord has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ffjord and discovered the below as its top functions. This is intended to give you an instant insight into ffjord implemented functionality, and help decide if they suit your requirements.
            • Generate output files
            • Load Freyfaces
            • Load Caltech 101 Silhouettes
            • Load a dataset
            • Saves a model to disk
            • Evaluate the model
            • Build a model table
            • Set CNF layers
            • Calculate the density of a given model
            • Create a model instance
            • Get a dataset
            • Build the model
            • Returns a dataset
            • Performs a single step
            • Compute the density trajectory for a given model
            • Forward the optimizer
            • Inplace spectral norm
            • Build model table
            • Construct an autortizedode layer
            • Perform the forward computation
            • Compute the flow for the flow of the flow
            • Compute the logarithm of the model
            • Load data from a CSV file
            • Compute the mean value for a given vector
            • Compute the objective function for a given vector
            • Compute the objective function
            • Forward forward computation
            Get all kandi verified functions for this library.

            ffjord Key Features

            No Key Features are available at this moment for ffjord.

            ffjord Examples and Code Snippets

            No Code Snippets are available at this moment for ffjord.

            Community Discussions

            QUESTION

            Error message when training CNF example from Julia documentation
            Asked 2020-Oct-09 at 21:08

            I'm new with Julia trying to run the example proposed at https://diffeqflux.sciml.ai/stable/examples/normalizing_flows/ to define and train a continuous normalizing flow using sciml_train.

            I just copy/pasted the written code and gets the following error:

            ...

            ANSWER

            Answered 2020-Oct-09 at 21:08

            Given, the error message seems a little bit cryptic, due to issuing "#5#7" instead of a proper function name for the method which is seemingly not callable for the two input arguments of types ::Array{Float32,1}, ::Float32.

            This is presumably due to some not properly defined variable/symbol, which is assumed by a caller to be callable like a function. The caller probably seems to be stemming from within the code you are using.

            The thing which seems like the most probable source of this error seems to me to be the cb in res1 = DiffEqFlux.sciml_train(loss_adjoint, ffjord_test.p, ADAM(0.1), cb = cb, maxiters = 100) . It is meant to be shorthand for "callback" and assumed to be a function defined by the user, and is called from within sciml_train. Comparing with the linked document where you took the example from, I can verify that your snippet matches the code over there. I haven't tested it out myself by now, but could you check that the error is gone as soon as you either define a cb function or remove it from the function call? If that'd be the case, there'd be an error within the official documentation.

            Source https://stackoverflow.com/questions/64283160

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

            Vulnerabilities

            No vulnerabilities reported

            Install ffjord

            You can download it from GitHub.
            You can use ffjord 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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            gh repo clone rtqichen/ffjord

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