Laurent/resume
1
0
Fork 0
Code Issues Pull requests Packages Projects Releases Wiki Activity

slightly change the huggingface link

Browse source
This commit is contained in:
Laureηt 2023-11-15 15:22:56 +01:00
parent 1fd053fc36
commit 49750e243d
Signed by: Laurent
SSH key fingerprint: SHA256:kZEpW8cMJ54PDeCvOhzreNr4FSh6R13CMGH/POoO8DI
1 changed files with 6 additions and 6 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

12
src/resume/resume.tex
View file

@ -72,7 +72,7 @@
\quad
\faGithub \ \href{https://www.github.com/Laurent2916/}{Laurent2916}
\quad
\raisebox{-2pt}{\includesvg[height=11pt]{hf-logo.svg}} \href{https://huggingface.co/1aurent}{1aurent}
\raisebox{-2pt}{\includesvg[height=11pt]{hf-logo.svg}} \href{https://huggingface.co/1aurent?sort_datasets=downloads&sort_models=downloads}{1aurent}
}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@ -145,10 +145,10 @@
\subsection{School projects}
JPEG \& MPEG Compression \\
Semi-Supervised Classifiers \\
Distributed Data Tuple Space \\
3D Inverse Problem Solver \\
Graph Machine Learning \\
OpenGL Renderer
OpenGL Mesh Renderer
\sectionsep
\subsection{OSS Contributor}
@ -181,9 +181,9 @@
\vspace{10pt} % Hacky fix for awkward extra vertical space
\begin{tightemize}
\item Studied state of the art generative models for 3D data, such as PointNet++, Graph U-Net, PointFlow, Point Voxel Diffusion and LION.
\item Implemented a dozen architectures using libraries such as PyTorch Geometric, PyTorch Lightning, HuggingFace Diffusers, HuggingFace Datasets, etc. Settled on Latent Diffusion Models.
\item Trained models on specific aircraft industrial parts, conditioned on performance metrics, such as drag coefficients, lift coefficients, etc.
\item Released internally the models and code, enabling Safran engineers to generate new parts with specific performance metrics and to easily reuse the code for other applications.
\item Implemented a dozen architectures using libraries such as PyTorch Geometric, PyTorch Lightning, HuggingFace Diffusers, HuggingFace Datasets, etc. Settled on Latent Diffusion Models and classic model reduction methods.
\item Trained models on specific aircraft industrial parts, conditioned on performance metrics, such as drag coefficients, lift coefficients, etc. Evaluated the models using Gaussian Processes and geometrical metrics.
\item Released internally the models and code, enabling Safran engineers to generate new parts with specific performance metrics and to easily reuse the code for other applications. Submitted a patent.
\end{tightemize}
\sectionsep