semvec/pypi-packages huggingface dataset:
staged-image-recovery 0.0.1
Recover images from proximity information.
Keywords: python,node embedding,structural embedding,graph representation learning,manifold learning,DNA sequencing-based microscopy,image reconstruction,image recovery

Staged Image Recovery uses a combination of structural embedding and manifold learning to recover images from proximity information. Such information is encoded in a graph, where edges denote proximity. Although the problemto be solved is quite general, it has special relevancein the context of DNA sequencing-based microscopy.For more information, please read our paper:https://www.biorxiv.org/content/10.1101/2022.09.29.510142v1
ouroboros-graph 0.0.2
A Graph Abstract Data Type
Keywords: python,graph,data,structure,data-structure


# Ouroboros Graph

An implementation of an adjacency list graph representation with algorithm support. Named after the ancient symbol of a serpent eating its own tail.

## Installation

`pip3 install ouroboros-graph`

## Usage

```py
from ouroboros-graph import OuroborosGraph

ouroboros = OuroborosGraph(directed=True)
# Each tuple in the edge list is (starting_node, ending_node, edge_value)
ouroboros.overwrite_graph(edge_list=[(1, 2, 7), (2, 3, 10)])
ouroboros.add_node(4)
ouroboros.add_edge(3, 4, value=7)
ouroboros.delete_node(2)
# {(3, 4, 7)} - only 1 edge because node 2 is deleted
edges = ouroboros.tuple_edges()
```
ShynaWeather 0.0.5
This package will take care of maintaining the Weather details as per my last location.

# shyna/ShynaWeather



## Getting Started

Download links:

SSH clone URL: ssh://git@git.jetbrains.space/shyna623/shyna/ShynaWeather.git

HTTPS clone URL: https://git.jetbrains.space/shyna623/shyna/ShynaWeather.git



These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

## Prerequisites

What things you need to install the software and how to install them.

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Examples
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## Deployment

Add additional notes about how to deploy this on a production system.

## Resources

Add links to external resources for this project, such as CI server, bug tracker, etc.