ammi | This is a PyTorch implementation of AMMI | GPU library

by karlstratos Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | ammi Summary

ammi is a Python library typically used in Hardware, GPU, Deep Learning, Pytorch applications. ammi 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.

This is a PyTorch implementation of AMMI [1]. Install dependencies (Python 3) and download data by running. Specifically, the experiments were run with Python 3.8.3 and PyTorch 1.5.3 using NVIDIA Quadro RTX 6000s (CUDA version 10.2).

Support

Quality

Security

License

Reuse

Support

ammi has a low active ecosystem.

It has 7 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of ammi is current.

Quality

ammi has 0 bugs and 0 code smells.

Security

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

ammi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ammi is licensed under the MIT License. This license is Permissive.

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

Reuse

ammi 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.

Top functions reviewed by kandi - BETA

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

Run training sessions
Log a string to stdout
Return flag for hparams
Logs the perfs
Compute the attention function
Estimate the hZ of the tensor
Estimate the Hessian of a tensor
Compute the tensor i
Encodes a discrete tensorflow tensorflow
Compute the viterbi
Define the encoder
The size of the codebook
Returns a dictionary of hyperparameters
Returns basic hparams grid
Compute the log - likelihood
Compute the KL divergence
Forward loss function
Update E weight
Get argument parser
Argument parser
Returns a grid with hparams
Returns a grid of hparams
Return argument parser

Get all kandi verified functions for this library.

ammi Key Features

No Key Features are available at this moment for ammi.

ammi Examples and Code Snippets

No Code Snippets are available at this moment for ammi.

Community Discussions

Trending Discussions on ammi

How to filter a String date range from an arrayList using filter() in Java?

How to rearrange row of data frame using python?

QUESTION

How to filter a String date range from an arrayList using filter() in Java?

Asked 2021-Aug-03 at 05:19

I am trying to filter records from a List based on date range which are stored as Strings.

List (showing 3 entries only):

...

ANSWER

Answered 2021-Aug-03 at 05:19

Why is the dateAdded property of People a type String? Change that to a LocalDate.

Change startDate and endDate to LocalDate too.

Then do:

Source https://stackoverflow.com/questions/68630624

QUESTION

How to rearrange row of data frame using python?

Asked 2020-May-02 at 11:11

I have a data frame where data is located in another column and I want to take those dates from that column and create a date column and store them. Here is my sample data.

...

ANSWER

Answered 2020-May-02 at 10:31

So essentially we use lambda to separate the Date from the task number and pd.Series.fillna(method='ffill') to fill in the last valid date.

So we're going to add these lines:

Source https://stackoverflow.com/questions/61556939

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

Vulnerabilities

No vulnerabilities reported

Install ammi

Unsupervised document hashing on Reuters using 16 bits. Output logged in file reuters16_ammi.log. You can simply switch the dataset to do predictive document hashing, for instance,. The VAE and DVQ baselines can be run similarly by switching ammi.py with vae.py or dvq.py.

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 .

Find more information at: