semvec/pypi-packages huggingface dataset:
ketisdk 1.0.0
Keti SDK
License: MIT
Requires Python: >=3.6
Keywords: VIOSN,ROBOT,CALIBRATION,WORKCELL

![license](https://img.shields.io/badge/license-MIT-green) ![PyTorch-1.4.0](https://img.shields.io/badge/PyTorch-1.4.0-blue)
# Keti SDK
## System Requirements:
```sh
- Ubuntu 16.04 or 18.04
- CUDA >=10.0, CUDNN>=7
- Pytorch >=1.4.0
```
## Install NVIDIA driver
```sh
check GPU info: 
sudo lshw -C display or hwinfo --gfxcard --short
Install:
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update
reboot
Open 'Software and update/ Addtional Drivers' and select proper driver
reboot
```

## Install CUDA and CUDNN
```sh
- Download *.run file from https://developer.nvidia.com/cuda-toolkit-archive
sudo sh cuda_XXX.run
- Follow the command line promts:
*** Note: Answer 'NO' for question "Install NVIDIA Accelerated Graphics Driver for Linux-XXX?"
- Download CUDNN from https://developer.nvidia.com/rdp/cudnn-archive
- Extract tar file
sudo cp /cuda/include/* /usr/loca/cuda-XX/include
sudo cp /cuda/lib64/* /usr/local/cuda-XX/lib64
- Set up CUDA path
sudo gedit ~/.bashrc
Add 2 lines to the file:
    PATH=/usr/local/cuda/bin:$PATH
    LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
source  ~/.bashrc

sudo gedit /etc/ld.so.conf.d/cuda.conf
Add: /usr/local/cuda/lib64
sudo ldconfig
reboot
```
## Install
```sh
sudo apt install python3.6-dev
sudo apt install python3.6-tk
cd $ROOT
pip install -e .
```
exergi 0.5.23
SE Libary for various tasks
License: MIT

# Exergi
This project is a part of the Datadriven Production & Distribution Department 

## Project Intro/Objective
The purpose of this project is to gather all exergi specific code in one repo and share it easily across the organisation. 

## Modules
- **aws.s3**. Module for S3 related functions such as import, export. 
- **aws.rds**. Module used to connect, import and export data from PostgreSQL databases on RDS or local docker environment. 
- **plot**. Common plotting library based on plotly. 

## Installation
A step by step series of examples that tell you how to get a development env running

Say what the step will be

```
pip install exergi
```

To update exergi package please use 

```
pip install --upgrade exergi 
```

## Automated release process

This project utilized gitlab ci for automated release process. For more information see the following link

https://towardsdatascience.com/setup-version-increment-and-automated-release-process-591d87ea1221

## Contributing Members

**Leads : [Kasper Janehag](https://gitlab.stockholmexergi.io/kasper.janehag)**
**Contributor : [Johan Wållgren](https://gitlab.stockholmexergi.io/kasper.janehag)**

## Members:

|Name     |  Role  | 
|---------|-----------------|
|[Kasper Janehag] | Data Scientist        |
|[Johan Wållgren] | Data Scientist         |