hyperbolics | Hyperbolic Embeddings | Math library

by HazyResearch Python Version: Current License: No License

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

kandi X-RAY | hyperbolics Summary

hyperbolics is a Python library typically used in Utilities, Math applications. hyperbolics has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Hyperbolic embedding implementations of Representation Tradeoffs for Hyperbolic Embeddings + product embedding implementations of Learning Mixed-Curvature Representations in Product Spaces.

Support

Quality

Security

License

Reuse

Support

hyperbolics has a low active ecosystem.

It has 275 star(s) with 43 fork(s). There are 31 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 10 have been closed. On average issues are closed in 81 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hyperbolics is current.

Quality

hyperbolics has 0 bugs and 0 code smells.

Security

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

hyperbolics code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hyperbolics 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

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

Train the model
Fix the gradients of the parameters
Generate a model for a given dataset
Return all the attributes for a function
Draws a matplotlib plot
Return True if two points are collinear
Calculate the angles of a point
Draws a polygon
Build the steiner tree
Load network data
Build the work directory
Builds a tree of hyponyms
Exponential scaling
Calculate the loss of the loss function
Estimate the clustering for a given graph
Projection onto hyperboloid
Run julia on a given run
Estimate the curvature of a graph
Calculate a hyp scale based on a weight
Exponential expansion
Run isomap
Load all connected components
Make wordnet weights for wordnet
Create a plot for a plot
Load a networkx graph
Calculate statistics for a given dataset
Train FCIters using the given mapping

Get all kandi verified functions for this library.

hyperbolics Key Features

No Key Features are available at this moment for hyperbolics.

hyperbolics Examples and Code Snippets

No Code Snippets are available at this moment for hyperbolics.

Community Discussions

Trending Discussions on hyperbolics

julia UndefVarError: unshift! not defined

building docker: opt/conda/bin/conda not found

QUESTION

julia UndefVarError: unshift! not defined

Asked 2020-Aug-19 at 15:55

I use julia 1.4, and running the following code:

...

ANSWER

Answered 2020-Aug-19 at 15:55

unshift! is existing function in julia 1.4

Where did you see this? It was renamed for Julia 1.0 two years ago to pushfirst!:

Source https://stackoverflow.com/questions/63490410

QUESTION

building docker: opt/conda/bin/conda not found

Asked 2020-Aug-11 at 22:57

I am completely new to docker, and I need to run a code in docker environment.

I get error in building Dockerfile :

I'm running Ubuntu 20.04 via hyper-V, and when I build the Dockerfile, I get the following message:

...

ANSWER

Answered 2020-Aug-11 at 22:57

The /bin/sh: 1: /opt/conda/bin/conda: not found error is caused by conda not being installed properly. This is because the miniconda.sh file that you download (with curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh) is an empty file.

This happens because curl by default doesn't follow redirects, and the response from the url above sends a redirect rather than the miniconda.sh file directly. You can verify this by checking the headers of the URL (e.g. curl -i https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh shows a HTTP 301 redirect statuscode).

You can fix this by telling curl to follow redirects, by providing the -L flag in your curl command, e.g. :

(I also had to remove sudo)

Source https://stackoverflow.com/questions/63359198

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

Vulnerabilities

No vulnerabilities reported

Install hyperbolics

We use Docker to set up the environment for our code. See Docker/README.md for installation and launch instructions. In this README, all instructions are assumed to be run inside the Docker container. All paths are relative to the /hyperbolics directory, and all commands are expected to be run from this directory.

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: