niezsellami / ai-training-examples

Examples of use of OVHcloud AI Solutions

This repository centralize all resources and examples (such as notebooks) that could be use with the OVHcloud AI Training product

Installation

Get the sources

git clone https://github.com/ovh/ai-training-examples.git

cd ai-training-examples

Read and experiment the tutorials

The tutorials are categorised by product and by task.

We offer examples on how to use AI Notebooks, AI Training and AI Apps. There are many forms: python files, ipython notebooks, Dockerfile, ...

The tutorials structure is as follows:

.
├── apps
│   ├── fastapi
│   │   └── spam-classifier-api
│   ├── flask
│   │   ├── hello-world
│   │   ├── object-detection-yolov5-app
│   │   │   ├── static
│   │   │   └── templates
│   │   └── sentiment-analysis-hugging-face-app
│   │       ├── static
│   │       └── templates
│   ├── getting-started
│   │   └── flask
│   │       └── hello-world-api
│   ├── gradio
│   │   └── sketch-recognition
│   └── streamlit
│       ├── audio-classification-app
│       ├── eda-classification-iris
│       ├── simple-app
│       └── speech-to-text
├── jobs
│   ├── jupyterlab
│   │   └── tensorflow
│   └── weights-and-biases
│       └── audio-classification-models-comparaison
│           ├── data-processing
│           └── models-training
└── notebooks
    ├── audio
    │   └── audio-classification
    ├── computer-vision
    │   ├── image-classification
    │   │   └── tensorflow
    │   │       ├── resnet50
    │   │       ├── tensorboard
    │   │       └── weights-and-biases
    │   └── object-detection
    │       └── miniconda
    │           ├── yolov5
    │           │   └── weights-and-biases
    │           └── yolov7
    │               └── images
    ├── getting-started
    │   ├── miniconda
    │   │   └── ai-notebooks-introduction
    │   ├── pytorch
    │   └── tensorflow
    └── natural-language-processing
        ├── speech-to-text
        │   └── miniconda
        │       ├── advanced
        │       │   └── sounds
        │       ├── basics
        │       │   └── sounds
        │       └── compare-models
        │           └── sounds
        └── text-classification
            ├── hugging-face
            │   └── sentiment-analysis-twitter
            │       ├── BARThez
            │       ├── BERT
            │       └── CamemBERT
            └── miniconda
                └── spam-classifier

Related links

• Documentation: https://docs.ovh.com/gb/en/publiccloud/ai/
• Contribute: https://github.com/ovh/ai-training-examples/blob/master/CONTRIBUTING.md
• Report bugs: https://github.com/ovh/ai-training-examples/issues

License

Copyright 2021 OVH SAS

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.