AI

How can an AI video generator benefit your small business?

In this digital age, video content has become an essential part of any business’s marketing strategy, offering an effective method of promoting a brand and its products. However, for small businesses, traditional video creation can be expensive and time-consuming, which means they often miss out on the benefits of video content. Luckily, artificial intelligence (AI) […]

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fastapi for spam classification

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

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speech to text app image3

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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speech to text app image2

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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speech to text app image1

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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Welcome to the first edition of Public Cloud changelog

Welcome to the first edition of Public Cloud changelog

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

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streamlit app for eda and interactive prediction

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,

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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

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Object detection: train YOLOv5 on a custom dataset

Object detection: train YOLOv5 on a custom dataset

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

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