Image segmentation: Train a U-Net model to segment brain tumors
brain tumor segmentation tutorial with BraTS2020 dataset and U-Net
Artificial Intelligence
Deploy a custom Docker image for Data Science project – A spam classifier with FastAPI (Part 3)
A guide to deploy a custom Docker image for an API with FastAPI and AI Deploy. Welcome to the third article concerning custom Docker image deployment. If you haven’t read the previous ones, you can check it: – Gradio sketch recognition app– Streamlit app for EDA and interactive prediction When creating code for a Data …
How to build a Speech-To-Text Application with Python (3/3)
A tutorial to create and build your own Speech-To-Text Application with Python. At the end of this third article, your Speech-To-Text Application will offer many new features such as speaker differentiation, summarization, video subtitles generation, audio trimming, and others! Final code of the app is available in our dedicated GitHub repository. Overview of our final …
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How to build a Speech-To-Text Application with Python (2/3)
A tutorial to create and build your own Speech-To-Text Application with Python. At the end of this second article, your Speech-To-Text application will be more interactive and visually better. Indeed, we are going to center our titles and justify our transcript. We will also add some useful buttons (to download the transcript, to play with …
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How to build a Speech-To-Text application with Python (1/3)
A tutorial to create and build your own Speech-To-Text application with Python. At the end of this first article, your Speech-To-Text application will be able to receive an audio recording and will generate its transcript! Final code of the app is available in our dedicated GitHub repository. Overview of our final app Overview of our …
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Deploy a custom Docker image for Data Science project – Streamlit app for EDA and interactive prediction (Part 2)
A guide to deploy a custom Docker image for a Streamlit app with AI Deploy. Welcome to the second article concerning custom Docker image deployment. If you haven’t read the previous one, you can read it on the following link. It was about Gradio and sketch recognition. When creating code for a Data Science project, …
Deploy a custom Docker image for Data Science project – Gradio sketch recognition app (Part 1)
A guide to deploy a custom Docker image for a Gradio app with AI Deploy. When creating code for a Data Science project, you probably want it to be as portable as possible. In other words, it can be run as many times as you like, even on different machines. Unfortunately, it is often the …
Managing GPU pools efficiently in AI pipelines
A growing number of companies are using artificial intelligence on a daily basis — and dealing with the back-end architecture can reveal some unexpected challenges. Whether the machine learning workload involves fraud detection, forecasts, chatbots, computer vision or NLP, it will need frequent access to computing power for training and fine-tuning. GPUs have proven to …
How PCI-Express works and why you should care? #GPU
What is PCI-Express ? Everyone, and I mean everyone, should pay attention when they do intensive Machine Learning / Deep Learning Training. As I explained in a previous blog post, GPUs have accelerated Artificial Intelligence evolution massively. However, building a GPUs server is not that easy. And failing to create an appropriate infrastructure can have …
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Interpretability Engine: An open-source tool to interpret your models in ML Serving
Context Artificial Intelligence is now a part of our daily life and the services it provides continue to flourish in multiple industries. At OVHCloud, we have recently launched ML Serving; a service to deploy Machine Learning models, ready to use in production. Its likely you’ve read some articles relating to Machine Learning (ML) techniques or …
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