vqcpc-bach | Vector Quantized Contrastive Predictive Coding
kandi X-RAY | vqcpc-bach Summary
kandi X-RAY | vqcpc-bach Summary
vqcpc-bach is a Python library. vqcpc-bach has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
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vqcpc-bach has a low active ecosystem.
It has 63 star(s) with 12 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
vqcpc-bach has no issues reported. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of vqcpc-bach is current.
Quality
vqcpc-bach has 0 bugs and 0 code smells.
Security
vqcpc-bach has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
vqcpc-bach code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
vqcpc-bach does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
vqcpc-bach 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, examples and code snippets are available.
vqcpc-bach saves you 2933 person hours of effort in developing the same functionality from scratch.
It has 6333 lines of code, 189 functions and 76 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed vqcpc-bach and discovered the below as its top functions. This is intended to give you an instant insight into vqcpc-bach implemented functionality, and help decide if they suit your requirements.
- Evaluate the optimizer
- Calculate NCE loss
- Train the module
- Evaluate the module
- Generate the model
- Convert a note to a music note
- Write tensor to file
- Convert a tensor score to a Music Score object
- Load data loader
- Get encoder tracer
- Compute weights per channel
- Plot clusters in 3d
- Compute the index dictionnary index
- Compute embedding
- Compute the embedding
- Check for duplicate tokens
- Preprocess input tensors
- Generate LALMAN output
- Plot the clusters
- Train the model
- Returns a decoder object
- Generate reharmonisation
- Get the encoder
- Forward attention
- Train the loss function
- Forward computation
Get all kandi verified functions for this library.
vqcpc-bach Key Features
No Key Features are available at this moment for vqcpc-bach.
vqcpc-bach Examples and Code Snippets
No Code Snippets are available at this moment for vqcpc-bach.
Community Discussions
No Community Discussions are available at this moment for vqcpc-bach.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install vqcpc-bach
clone the repository.
run (we recommend using a virtualenv) pip install -r requirements.txt
run (we recommend using a virtualenv) pip install -r requirements.txt
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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