Name: Vincent BARRA
Type: User
Company: Clermont Auvergne University
Bio: Full professor in Computer Science, Clermont-Auvergne University, France
Twitter: Barravincent
Location: Clermont Ferrand, France
Blog: https://vbarra.github.io
Vincent BARRA's Projects
This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.
Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2022)
Neural Networks and Deep Learning, NUS CS5242, 2021
Computer Vision and Machine Learning Jupyter Notebooks for Educational Purposes
Python interactive dashboards for learning data science
A deep-dive on the entire history of deep-learning
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki
Materials for the Hugging Face Diffusion Models Course
This is the source code for the animations in the series "Visualizing Deep Learning"
The fastai book, published as Jupyter Notebooks
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
Graph Machine Learning course, Xavier Bresson, 2023
The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization
Lectures for INFO8010 - Deep Learning, ULiège
LLM101n: Let's build a Storyteller
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Learn how to responsibly develop, deploy and maintain production machine learning applications.
A community-maintained Python framework for creating mathematical animations.
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Interactive quizzes for Markdown
Machine Learning Engineering Online Book
code for deep learning courses
Numerical Tours of Signal Processing