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How to run a job on Curnagl
Overview Suppose that you have finished writing your code, say a python code called <my_code.py>, and you want to run it on the cluster Curnagl. You will need to submit a job (a bash script) with information such as the number of CPUs you want to use and the ...
Deep Learning with GPUs
The training phase of your deep learning model may be very time consuming. To accelerate this process you may want to use GPUs and you will need to install the deep learning packages, such as Keras or PyTorch, properly. Here is a short documentation on how to ...
Research - A Gentle Introduction to Decision Trees and Random Forests with Python and R
Machine learning methods are nowadays used in a wide variety of applications. In this course, you will learn how the decision tree and random forest methods work and may be applied in practice by using either Python or R programming. Objectives Acquire the k...
Research - An Introduction to Image Analysis with CNNs in Python
Convolutional Neural Networks (CNNs) are used in a wide variety of applications such as image classification, image segmentation, object detection, and image generation (with GAN). In this course, you will learn how a CNN works and how it can be applied in pra...
Course software for Image Analysis with CNNs
You can do the practicals on various computing platforms. However, since the participants may use various types of computers and softwares, we recommend to use the UNIL JupyterLab to do the practicals. JupyterLab: Working on the cloud is convenient because t...
Course software for Text Analysis with LLMs
You can do the practicals on various computing platforms. However, since the participants may use various types of computers and softwares, we recommend to use the UNIL JupyterLab to do the practicals. JupyterLab: Working on the cloud is convenient because t...
Research - An Introduction to Text Analysis with Transformers and LLMs in Python
Transformers and Large Language Models (LLMs) are widely used in various text analysis applications, including text classification, text generation, summarisation, translation, and chatbots. In this course, you will learn how Transformers and LLMs work and how...