CycleGAN-Music-Style-Transfer | Symbolic Music Genre Transfer with CycleGAN | Machine Learning library
kandi X-RAY | CycleGAN-Music-Style-Transfer Summary
kandi X-RAY | CycleGAN-Music-Style-Transfer Summary
CycleGAN-Music-Style-Transfer is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Generative adversarial networks applications. CycleGAN-Music-Style-Transfer has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Symbolic Music Genre Transfer with CycleGAN
Symbolic Music Genre Transfer with CycleGAN
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Quality
Security
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Support
CycleGAN-Music-Style-Transfer has a low active ecosystem.
It has 209 star(s) with 55 fork(s). There are 13 watchers for this library.
It had no major release in the last 6 months.
There are 13 open issues and 3 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of CycleGAN-Music-Style-Transfer is current.
Quality
CycleGAN-Music-Style-Transfer has 0 bugs and 0 code smells.
Security
CycleGAN-Music-Style-Transfer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
CycleGAN-Music-Style-Transfer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
CycleGAN-Music-Style-Transfer is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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CycleGAN-Music-Style-Transfer 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.
CycleGAN-Music-Style-Transfer saves you 600 person hours of effort in developing the same functionality from scratch.
It has 1397 lines of code, 78 functions and 9 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed CycleGAN-Music-Style-Transfer and discovered the below as its top functions. This is intended to give you an instant insight into CycleGAN-Music-Style-Transfer implemented functionality, and help decide if they suit your requirements.
- Train the model
- Load numpy array
- Loads the model
- Sample model
- Build the model
- 2D convolution layer
- Instance normalization
- A discriminator
- Convert a filepath to a MIDI
- Bar generator
- Defines the discriminator bar
- Generate a phrase generator
- Discrete discriminator
- This test is used for testing
- Transformer discriminator phase
- Load training data
- Define discriminator
- A midinet layer
- Run test
- Builds the model
- Resnet block of images
- Train the classifier
- Runs test
- Unetet
- Generate a generator for the generator
- Test to see if the games are played
Get all kandi verified functions for this library.
CycleGAN-Music-Style-Transfer Key Features
No Key Features are available at this moment for CycleGAN-Music-Style-Transfer.
CycleGAN-Music-Style-Transfer Examples and Code Snippets
No Code Snippets are available at this moment for CycleGAN-Music-Style-Transfer.
Community Discussions
Trending Discussions on CycleGAN-Music-Style-Transfer
QUESTION
How to use tf.Lambda and tf.Variable at TensorFlow 2.0
Asked 2020-Jan-13 at 15:22
I'm very new to TensorFlow 2.0.
I wrote a code for Cyclic GAN as follows (I extract code only for building generator neural network):
...ANSWER
Answered 2020-Jan-13 at 15:22Lambda layers are stateless, that is, you cannot define variables within them. Instead, you could rather write a custom layer. Something along the lines of:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CycleGAN-Music-Style-Transfer
You can download it from GitHub.
You can use CycleGAN-Music-Style-Transfer 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.
You can use CycleGAN-Music-Style-Transfer 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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