xaby | Functional machine learning for fun | Machine Learning library

by mcleonard Python Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | xaby Summary

xaby is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. xaby 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.

I've been wanting to experiment with functional programming in Python, specifically for machine learning and neural networks. Neural networks are, in general, collections of sequences of operations. I thought it'd be interesting to see if I could construct network architectures out of only function calls for these operations.

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Support

xaby has a low active ecosystem.

It has 82 star(s) with 6 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

xaby has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of xaby is current.

Quality

xaby has 0 bugs and 0 code smells.

Security

xaby has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

xaby code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

xaby is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

xaby 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.

xaby saves you 162 person hours of effort in developing the same functionality from scratch.

It has 742 lines of code, 117 functions and 16 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed xaby and discovered the below as its top functions. This is intended to give you an instant insight into xaby implemented functionality, and help decide if they suit your requirements.

Construct a function that builds a networkv2
Convolution op
Divide v with divisor
Generate bottleneck function
Decorator to build a function
Build a jit function from a function call
Pack an array into a single array
Create a new ArrayList
Describe a function
Describe the function
Evaluate functions
Evaluate a function
Generate a random uniform distribution
Return a list of keys
Train functions
Decorator to train a function
Combines a list of lists into a single ArrayList
Random bernoulli variates
Unflatten a list

Get all kandi verified functions for this library.

xaby Key Features

No Key Features are available at this moment for xaby.

xaby Examples and Code Snippets

No Code Snippets are available at this moment for xaby.

Community Discussions

Trending Discussions on xaby

Regex for `x...(a and b)...y` within a limited length?

QUESTION

Regex for `x...(a and b)...y` within a limited length?

Asked 2021-Sep-06 at 10:28

Is it possible to specify a regex that matches x...(a and b)...y within a limited length of n?

To be more precise:

The length of chars between the matched x and y must be at most n.
Both an a and a b (regardless of order) must exist between the matched x and y.
x, a, b, and y here could stand for a multi-char string snippet.

Test cases (assume n = 10):

...

ANSWER

Answered 2021-Sep-05 at 14:17

I fear this is not possible without generating all valid combinations of lengths for the parts between x and a|b, between a and b, and between a|b and y.

For n=5 (i.e. 0-3 characters other than the a and b between x and y:

Source https://stackoverflow.com/questions/69059958

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

Vulnerabilities

No vulnerabilities reported

Install xaby

Clone the repo and install with pip.

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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