sanaelotfi Goto Github PK
Name: Sanae Lotfi
Type: User
Company: NYU
Location: New York City
Name: Sanae Lotfi
Type: User
Company: NYU
Location: New York City
Assignments for the "INF8215: Methods and Algorithms for Artificial Intelligence" course. M.Sc. in Applied Mathematics at Polytechnique Montréal.
Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
Causal Representation Learning: A Survey
Translation of VIP cheatsheets for Machine Learning and Deep Learning
Implementation of the Face Recognition using EigenFaces approach and more experimentation using this concept.
A Re-implementation of Fixed-update Initialization
The Julia Language: A fresh approach to technical computing.
Laplace approximations for Deep Learning.
Codebase for Learning Invariances in Neural Networks
Scripts/Notebooks used for my articles published on Medium
Calepins Jupyter pour le cours MTH3302 de Polytechnique Montréal
Understanding the Generalization of Deep Neural Networks through PAC-Bayes bounds: A Survey
3rd homework for the "IFT6135 : Representation learning" course at Udem. M.Sc. in Applied Mathematics at Polytechnique Montréal.
1st homework for the "IFT6135 : Representation learning" course at Udem. M.Sc. in Applied Mathematics at Polytechnique Montréal.
2nd homework for the "IFT6135 : Representation learning" course at Udem. M.Sc. in Applied Mathematics at Polytechnique Montréal.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Computing compression-based generalization bounds for LLMs using SubLoRA
Code for PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization, NeurIPS 2022
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.