zgcharaf / bayesianneuralnetwork-tutorial-metarepos Goto Github PK View Code? Open in Web Editor NEW This project forked from french-paragon/bayesianneuralnetwork-tutorial-metarepos 0.0 0.0 0.0 1.33 MB A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Bayesian Neural Networks - A Tutorial for Deep Learning Users" Introduction Β· People Β· Discuss
Hello, I'm Charaf π I have been coding since age 15, interested in quantitative finance, computer vision, and agent-based models in economics and finance. π Iβm currently working on agent-based models and employed as a Data Scientist at BNP PARIBAS. π Studying at Paris 1 PanthΓ©on-Sorbonne. π± Iβm deeply passionate about many things including biology, physics, mathematics, and philosophy. π― Iβm looking to collaborate with other programmers/data scientists. π₯ 2024 Goals: Contribute to more Quant finance projects, do more courses on YouTube. β‘ Fun fact: I love to play chess and enjoy watching/doing stand-up comedy. Connect with me: LinkedIn Youtube Portfolio Languages and Tools: My GitHub Statistics:
Hello, I'm Charaf π I have been coding since age 15, interested in quantitative finance, computer vision, and agent-based models in economics and finance. π Iβm currently working on agent-based models and employed as a Data Scientist at BNP PARIBAS. π Studying at Paris 1 PanthΓ©on-Sorbonne. π± Iβm deeply passionate about many things including biology, physics, mathematics, and philosophy. π― Iβm looking to collaborate with other programmers/data scientists. π₯ 2024 Goals: Contribute to more Quant finance projects, do more courses on YouTube. β‘ Fun fact: I love to play chess and enjoy watching/doing stand-up comedy. Connect with me: LinkedIn Youtube Portfolio Languages and Tools: My GitHub Statistics:
Vue.js π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
javascript JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Machine learning Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Facebook We are working to build community through open source technology. NB: members must have two-factor auth.