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https://github.com/kaka-lin/docker-image

My docker image
https://github.com/kaka-lin/docker-image

docker dockerfile

Last synced: 2 days ago
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My docker image

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README

        

# Docker Image

This repository is for building a Docker images

## Tags available

Check the [DockerHub](https://hub.docker.com/repository/docker/kakalin/kimage)

## Categories

### Tensorflow

| OS
Platform | CPU/GPU | Python | Frameworks | Jupyter | Dockerfile |
| :------------: | :-----: | :----: | :--------: | :-----: | :--------: |
| Ubuntu
18.04 | CPU | 3.6 | Tensorflow 2.0.0 | Yes | [Link](https://github.com/kaka-lin/docker-image/tree/master/cpu-tf2.0.0-devel) |
| Ubuntu
18.04 | CUDA 10.2
cuDNN 7 | 3.6 | Tensorflow 2.1.0 | Yes | [Link](https://github.com/kaka-lin/docker-image/tree/master/cuda10.2-tf2.1.0-devel) |
| Ubuntu
18.04 | CUDA 11.6
cuDNN 8 | 3.8 | Tensorflow 2.9.1 | Yes | [Link](https://github.com/kaka-lin/docker-image/tree/master/cuda11.6-tf2.9.1-devel) |

### Pytorch

| OS
Platform | CPU/GPU | Python | Frameworks | Jupyter | Dockerfile |
| :------------: | :-----: | :----: | :--------: | :-----: | :--------: |
| Ubuntu
16.04 | CUDA 8.0,
cuDNN 6 | 3.6 | Pytorch 0.4.1 | No | [Link](https://github.com/kaka-lin/docker-image/tree/master/cuda8-torch0.4.1-devel) |
| Ubuntu
18.04 | CUDA 11.1,
cuDNN 8 | 3.8 | Pytorch 1.8.1 | No | [Link](https://github.com/kaka-lin/docker-image/tree/master/cuda11.1-torch1.8-devel) |
| Ubuntu
18.04 | CUDA 11.3,
cuDNN 8 | 3.7 | Pytorch 1.12.0 | No | [Link](https://github.com/kaka-lin/docker-image/tree/master/cuda11.3-torch1.12.0-devel) |

### ONNX

| OS
Platform | CPU/GPU | Python | Frameworks | Jupyter | Dockerfile |
| :------------: | :-----: | :----: | :--------: | :-----: | :--------: |
| Ubuntu
18.04 | CUDA 11.6,
cuDNN 8 | 3.8 | ONNX 1.12.0 | No | [Link](https://github.com/kaka-lin/docker-image/tree/master/onnxrt-1.12.0-runtime) |

### Others

- Qt: please see [here](https://github.com/kaka-lin/qt-template/tree/master/docker)
- PCL: please see [here](https://github.com/kaka-lin/autonomous-driving-notes/tree/master/PCL/00_installation)