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 »
One way to look at our Public Cloud universe is to consider it as an integrated ecosystem of infrastructure and managed services that enables organizations to build, run, and manage their applications in a trusted cloud environment. One key attribute of our Public Cloud, is the scope of technologies we use, ranging from infrastructure to
Welcome to the first edition of Public Cloud changelog Read More »
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,
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 guide to train a YOLO object detection algorithm on your dataset. It’s based on the YOLOv5 open source repository by Ultralytics. All the code for this blogpost is available in our dedicated GitHub repository. And you can test it in our AI Training, please refer to our documentation to boot it up. Introduction Computer Vision
Object detection: train YOLOv5 on a custom dataset Read More »
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 »
Are you using notebooks, such as Google Colab, for your business, studies or own usage? Are you reaching the maximum capabilities of this service and are looking for a simple yet powerful alternative? This blog post is for you! We will explore our own solution. Let’s be honest – Google Colab is solving many challenges.
OVHcloud AI Notebooks: the power of Jupyter without any compromise Read More »
In 2020, OVHcloud launched a portfolio of PaaS solutions dedicated to Data and AI. As an innovative cloud player for the past 20 years, our up-to-date technology coupled with our close collaboration with data science communities as well as the most cutting-edge players in the sector has enabled us to identify 10 strong AI trends
2021: major technological advances to accelerate, democratize and certify AI uses Read More »
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
Managing GPU pools efficiently in AI pipelines Read More »
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
How PCI-Express works and why you should care? #GPU Read More »
