Quentin Bertrand's repositories
gen_models_dont_go_mad
Code to reproduce the experiments of the ICLR 2024 (spotlight) paper "On the Stability of Iterative Retraining of Generative Models on their Own Data" https://arxiv.org/abs/2310.00429
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
agramfort.github.io
Source of my webpage
awesome-public-datasets
A topic-centric list of HQ open datasets.
benchmark_multi_task_lasso
benchmarking of multi task lasso solvers
BlitzL1
Fast, principled L1-regularized loss minimization
BNAF
Pytorch implementation of Block Neural Autoregressive Flow
BOML
Bilevel Optimization Library in Python for Multi-Task and Meta Learning
conditional-flow-matching
TorchCFM: a Conditional Flow Matching library
ddpm-torch
Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)
glum
High performance Python GLMs with all the features!
hypermapper
Black-box Optimizer based on Bayesian Optimization
jax-meta-learning
A collection of meta-learning algorithms in Jax
jaxopt
Hardware accelerated, batchable and differentiable optimizers in JAX.
MetaOptNet
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
mtl-mlopt.github.io
Website
PEPit
PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
results
BenchOpt benchmark results
skglm
Fast and modular sklearn replacement for generalized linear models