semvec/pypi-packages huggingface dataset:
alphafoldmodel 1.0.3
A package of Python objects for parsing and interacting with Alphafold models.
Requires Python: >=3.10

## **AlphafoldModel** is a package to parse Alphafold PDB structures and PAE Matrices into interactive Python objects.

### The package contains the following classes:
- `AlphafoldModel`: Parses the Alphafold model PDB file alongside its JSON PAE matrix into an interactive Python object. It allows declarative queries for a model's local PAE and plDDT metrics.
- `ModelPDB`: `ModelPDB` is the base class that carries the PDB parsing functionalities as well as residue-based nearest-neighbour search methods.
- `ModelPAE`: `ModelPAE` is the base class that carries the PAE parsing functionalities for `AlphafoldModel`.
- `LoadedKDTree`: `LoadedKDTree` is a wrapper class which provides an interface over the `scipy.spatial.KDTree` class to instead store and return arbitrary objects with coordinate information.

### Explore the source file in:
`src/AlphafoldModel/alphafoldmodel`

### Installing
    pip install alphafoldmodel
DeeprAI 1.0.4
A easy to use and beginner friendly neural network tool box that anyone can pick up and explorer machine learning!

![](images/read_me-header.png)
## What is Deepr-ai?
Deeper-ai is a beginner-friendly neural network libary developed in Python and Cython, which aims to be simple and easy to use. Deepr-ai is made for a level 0 introduction to machine learning, helping others to gain a firm understanding of the core concepts and to prepare them for more advanced frameworks (which deepr-ai might make in the future).
## Documentation
The documentation for Deepr-ai is still under construction, but you can check it out here:
https://docs.deepr.dev/books/deeprai-docs
## What makes Deepr-ai diffrent from other machine learning libraries?
Deepr-ai's incredibly easy and simple setup means that it requires almost no previous knowledge in Python, math, or machine learning to set up a model. However, there are more advanced settings as well (for more experienced users).
## Is Deepr-ai finished?
Currently, Deepr-ai is under devopment. Regular updates are planned (granted im in highschool so updates might be delayed). However, Deepr-ai still has useful features and practical uses in its unfinished form. 

<p align="center">
Copyright 2023 Kieran Carter
</p>
SciExpeM-API 2.0.3.5
Python wrapper for SciExpeM EndPoints

# SciExpeM_API
API Python wrapper for [SciExpeM](https://sciexpem.polimi.it)

# Install using 'pip'
```sh
$ pip install SciExpeM-API 
```

# Upgrade using 'pip'
```sh
$ pip install SciExpeM-API --upgrade
```

# Install from source code
Download this repository, move inside the directory, create the wheel, and install the package inside your python enviroment.

```sh
$ git clone https://github.com/edoardoramalli/SciExpeM_API
$ cd SciExpeM_API
$ python setup.py bdist_wheel 
$ pip install dist/SciExpeM_API-2.0.0-py3-none-any.whl
```
The last instruction could change based on the OS, and the version of the package.