QB3

sparse-ho

Fast hyperparameter settings for non-smooth estimators:

discrating

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_mcp

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

celer

Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.

conditional-flow-matching

TorchCFM: a Conditional Flow Matching library

ddpm-torch

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

fls

glum

High performance Python GLMs with all the features!

HAX712X

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.

libsvmdata

MetaOptNet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

mtl-mlopt.github.io

Website

OrganizationFiles

PEPit

PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.

QB3.github.io

results

BenchOpt benchmark results

skglm

Fast and modular sklearn replacement for generalized linear models

sparse-ho-qbe

sparse-regression