bd-tools

Name	bd-tools JSON
Version	0.3.1 JSON
	download
home_page	None
Summary	Collection of tools for recurring tasks
upload_time	2025-02-24 10:09:40
maintainer	None
docs_url	None
author	Benoit Dehapiot
requires_python	>=3.9
license	GNU General Public License v3 (GPLv3)
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            ![Python Badge](https://img.shields.io/badge/Python-3.10-rgb(69%2C132%2C182)?logo=python&logoColor=rgb(149%2C157%2C165)&labelColor=rgb(50%2C60%2C65))
![TensorFlow Badge](https://img.shields.io/badge/TensoFlow-2.10-rgb(255%2C115%2C0)?logo=TensorFlow&logoColor=rgb(149%2C157%2C165)&labelColor=rgb(50%2C60%2C65))
![CUDA Badge](https://img.shields.io/badge/CUDA-11.2-rgb(118%2C185%2C0)?logo=NVIDIA&logoColor=rgb(149%2C157%2C165)&labelColor=rgb(50%2C60%2C65))
![cuDNN Badge](https://img.shields.io/badge/cuDNN-8.1-rgb(118%2C185%2C0)?logo=NVIDIA&logoColor=rgb(149%2C157%2C165)&labelColor=rgb(50%2C60%2C65))    
![Author Badge](https://img.shields.io/badge/Author-Benoit%20Dehapiot-blue?labelColor=rgb(50%2C60%2C65)&color=rgb(149%2C157%2C165))
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# bdtools  
Toolkit for reccuring tasks

## Index
- [Installation](#installation)
- [Comments](#comments)

## Installation

Pease select your operating system

<details> <summary>Windows</summary>  

### Step 1: Download this GitHub Repository 
- Click on the green `<> Code` button and download `ZIP` 
- Unzip the downloaded file to a desired location

### Step 2: Install Miniforge (Minimal Conda installer)
- Download and install [Miniforge](https://github.com/conda-forge/miniforge) for your operating system   
- Run the downloaded `.exe` file  
    - Select "Add Miniforge3 to PATH environment variable"  

### Step 3: Setup Conda 
- Open the newly installed Miniforge Prompt  
- Move to the downloaded GitHub repository
- Run one of the following command:  
```bash
# TensorFlow with GPU support
mamba env create -f environment_tf-gpu.yml
# TensorFlow with no GPU support 
mamba env create -f environment_tf-nogpu.yml
```  
- Activate Conda environment:
```bash
conda activate bdtools
```
Your prompt should now start with `(bdtools)` instead of `(base)`

</details> 

<details> <summary>MacOS</summary>  

### Step 1: Download this GitHub Repository 
- Click on the green `<> Code` button and download `ZIP` 
- Unzip the downloaded file to a desired location

### Step 2: Install Miniforge (Minimal Conda installer)
- Download and install [Miniforge](https://github.com/conda-forge/miniforge) for your operating system   
- Open your terminal
- Move to the directory containing the Miniforge installer
- Run one of the following command:  
```bash
# Intel-Series
bash Miniforge3-MacOSX-x86_64.sh
# M-Series
bash Miniforge3-MacOSX-arm64.sh
```   

### Step 3: Setup Conda 
- Re-open your terminal 
- Move to the downloaded GitHub repository
- Run one of the following command: 
```bash
# TensorFlow with GPU support
mamba env create -f environment_tf-gpu.yml
# TensorFlow with no GPU support 
mamba env create -f environment_tf-nogpu.yml
```  
- Activate Conda environment:  
```bash
conda activate bdtools
```
Your prompt should now start with `(bdtools)` instead of `(base)`

</details>




## Comments

            

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