semvec/pypi-packages huggingface dataset:
hbp-archive 1.1.1
A high-level API for interacting with the Human Brain Project archival storage at CSCS
Keywords: swift hbp cscs data

A high-level API for interacting with the Human Brain Project archival storage at CSCS.

Authors: Andrew Davison (CNRS), Shailesh Appukuttan (CNRS) and Eszter Agnes Papp (University of Oslo)

Documentation: https://hbp-archive.readthedocs.io

Installation: `pip install hbp_archive`

Usage:

```python
    from hbp_archive import Container, PublicContainer, Project, Archive

    # Working with a public container

    container = PublicContainer("https://object.cscs.ch/v1/AUTH_id/my_container")
    files = container.list()
    local_file = container.download("README.txt")
    print(container.read("README.txt"))
    number_of_files = container.count()
    size_in_MB = container.size("MB")

    # Working with a private container

    container = Container("MyContainer", username="xyzabc")  # you will be prompted for your password
    files = container.list()
    local_file = container.download("README.txt", overwrite=True)  # default is not to overwrite existing files
    print(container.read("README.txt"))
    number_of_files = container.count()
    size_in_MB = container.size("MB")

    container.move("my_file.dat", "a_subdirectory", "new_name.dat")  # move/rename file within a container

    # Reading a file directly, without downloading it

    with container.open("my_data.txt") as fp:
        data = np.loadtxt(fp)

    # Working with a project

    my_proj = Project('MyProject', username="xyzabc")
    container = my_proj.get_container("MyContainer")

    # Listing all your projects

    archive = Archive(username="xyzabc")
    projects = archive.projects
    container = archive.find_container("MyContainer")  # will search through all projects
```

<div><img src="https://raw.githubusercontent.com/HumanBrainProject/hbp-validation-client/master/eu_logo.jpg" alt="EU Logo" width="15%" align="right"></div>

### ACKNOWLEDGEMENTS
This open source software code was developed in part or in whole in the Human Brain Project, funded from the European Union's Horizon 2020 Framework Programme for Research and Innovation under Specific Grant Agreements No. 720270, No. 785907 and No. 945539 (Human Brain Project SGA1, SGA2 and SGA3).
woollylib 0.0.5
This is a pytorch based utilities library which will help you for training and visualizing computer vision models.
Requires Python: >=3.6

# woollylib 

This is a pytorch based utilities library which will help you for training and visualizing computer vision models.

* ## Structure Tree

```
├── woollylib
│   ├── bp
│   │   ├── autocast
│   │   │     └── backpropagation.py   
│   │   ├── losses
│   │   │     └── backpropagation.py  
│   │   ├── optimizer
│   │   │     └── backpropagation.py  
│   │   ├── ricap
│   │   │     └── backpropagation.py   
│   │   └── vanila  
│   │         └── backpropagation.py   
│   │ 
│   ├── models
│   │   ├── custom
│   │   │     └── custom_resnet.py 
│   │   ├── model.py
│   │   └── resnet.py
│   │ 
│   ├── preloading
│   │    └── dataset.py 
│   │ 
│   ├── utils
│   │    ├── gradcam
│   │    │   ├── _init_.py
│   │    │   ├── compute.py
│   │    │   ├── gradcam.py
│   │    │   └── util.py   
│   │    │
│   │    ├── transform.py 
│   │    ├── utils.py 
│   │    └── visualize.py 
│   │ 
│   ├── _init_.py
│   ├── dataset.py
│   ├── main.py
│   ├── scheduler.py
│   └──training.py
│   
├── setup.py
├── LICENSE
├── MANIFEST.IN
├── README.txt
├── requirements.txt
├── .gitignore
└── README.md
```


## Installation 
```
pip install woollylib
```

## How to Use it 










## Contributers
* [Ammar Adil](https://github.com/adilsammar)
* [Krithiga](https://github.com/BottleSpink)
* [Shashwat Dhanraaj](https://github.com/sdhanraaj12)
* [Srikanth Kandarp](https://github.com/Srikanth-Kandarp)