RND Environment

Research and development (RND) environment. I'm using those dockers on remote desktop computer with GPU

Features

run scientific docker on remote host
preserve datasets to /var/datasets and models to /var/models
I'm using dockerfile floydhub/pytorch:1.0.0-gpu.cuda9cudnn7-py3.37 which has many scientific and deep learning tools (pytorch, scikit-learn, tensorflow and etc).
jupyter on http://{server-ip}:8888/
tensorBoard on http://{server-ip}:6006/

More details about it

Name		Name	Last commit message	Last commit date
Latest commit History 52 Commits
bin		bin
configs		configs
dagster		dagster
gpu_prometheus_exporter		gpu_prometheus_exporter
luigi-scheduler		luigi-scheduler
mlflow-server		mlflow-server
novnc		novnc
tf		tf
.gitignore		.gitignore
Dockerfile		Dockerfile
Dockerfile-tfboard		Dockerfile-tfboard
LICENSE		LICENSE
README.md		README.md
docker-compose.yml		docker-compose.yml
requirements.txt		requirements.txt
run-tf-docker-script.sh		run-tf-docker-script.sh
run-tf-docker.sh		run-tf-docker.sh