Image segmentation: Train a U-Net model to segment brain tumors
brain tumor segmentation tutorial with BraTS2020 dataset and U-Net
Machine learning
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 …
How to build a Speech-To-Text Application with Python (3/3) Read More »
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 …
How to build a Speech-To-Text Application with Python (2/3) Read More »
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 …
How to build a Speech-To-Text application with Python (1/3) Read More »
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 …
A journey into the wondrous land of Machine Learning, or “Cleaning data is funnier than cleaning my flat!” (Part 3)
What am I doing here? The story so far… As you might know if you have read our blog for more than a year, a few years ago, I bought a flat in Paris. If you don’t know, the real estate market in Paris is expensive but despite that, it is so tight that a …
AI Notebooks: analyze and classify sounds with AI
A guide to analyze and classify marine mammal sounds. Since you’re reading a blog post from a technology company, I bet you’ve heard about AI, Machine and Deep Learning many times before. Audio or sound classification is a technique with multiple applications in the field of AI and data science. Use cases Acoustic data classification: …
AI Notebooks: analyze and classify sounds with AI Read More »
Network devices overheat monitoring
Network devices overheat monitoring Problem to solve Monitoring our network devices is important to ensure a good quality of service for our customers. In particular, avoiding any overheat safety shutdowns is critical, even if we ensure failure resilience in our infrastructure with device redundancy. In the best scenario, if a device falls, its twin is …