Name: Guillaume Dalle
Type: User
Company: EPFL
Bio: Postdoctoral researcher in machine learning
Twitter: giomdal
Location: Lausanne
I am a postdoctoral researcher in machine learning at EPFL, working between the labs IdePHICS, SPOC and INDY. My current research focuses on the behavior of graph neural networks.
Between 2019 and 2022, I was a PhD student at École des Ponts (CERMICS), and then a teaching assistant at MIT (JuliaLab).
Check out my PhD Resources website for students and researchers 🔬
aqua.jl
Auto QUality Assurance for Julia packages
awesome-scientific-computing
:sunglasses: Curated list of awesome software for numerical analysis and scientific computing
controlledhiddenmarkovmodels.jl
A package for Hidden Markov Models with exogenous control variables.
csp
A hand-coded binary CSP solver in Julia
differentiablefrankwolfe.jl
Differentiable wrapper for FrankWolfe.jl convex optimization routines
differentiationinterface.jl
An interface to various automatic differentiation backends in Julia.
distributions.jl
A Julia package for probability distributions and associated functions.
enzyme.jl
Julia bindings for the Enzyme automatic differentiator
exercicesmaths
fastpriorityqueues.jl
Possibly faster alternatives to the priority queue from DataStructures.jl (unmaintained)
finitediff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
flatland-rl
flatland.jl
A barebones Julia version of the Flatland railway simulator
gdalle
gdalle.github.io
general
The official registry of general Julia packages
graphresolvingsets.jl
Exact algorithms and heuristics for computing resolving sets and metric dimensions on graphs
gridgraphs.jl
Graphs defined by a grid of vertices. Compatible with the Graphs.jl ecosystem
hashcode2014.jl
Lightweight package designed to interact with the data of the 2014 Google Hash Code
hashcode2014data
hashcode2019final.jl
hiddenmarkovmodels.jl
A Julia package for simulation, inference and learning of Hidden Markov Models.
hierarchicalrl
MVA review project on Hierarchical Reinforcement Learning
imb-spoc-2024
implicitdifferentiation-juliacon2022
Pluto notebook demonstrating the capabilities of ImplicitDifferentiation.jl
implicitdifferentiation.jl
Automatic differentiation of implicit functions
inf554_kaggle
Machine learning project - École polytechnique
inferopt-juliacon2022
Notebook presenting the InferOpt.jl package
internsindy2023
internsindy2024
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
