MLIA's repositories
datamaestro
Scripts to automatize and standardize dataset handling
DINo
Neural PDE forecaster based on INRs and ODEs
dytox
Dynamic Task Expansion with Continual Transformers, accepted at CVPR 2022
experimaestro-python
Experimaestro (python version)
kymatio
Wavelet scattering transforms in Python with GPU acceleration
AirfRANS
In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the NeurIPS 2022 Datasets and Benchmarks Track conference.
airfrans_lib
The AirfRANS dataset makes available numerical resolutions of the incompressible Reynolds-Averaged Navier–Stokes (RANS) equations over the NACA 4 and 5 digits series of airfoils and in a subsonic flight regime setup.
APHYNITY
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
continuum
A clean and simple data loading library for Continual Learning
CVPR2021_PLOP
Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation
DADAO
Implementation of DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization for Time-Varying Gossips.
data-to-text-hierarchical
Code for A Hierarchical Model for Data-to-Text Generation (Rebuffel, Soulier, Scoutheeten, Gallinari; ECIR 2020)
diwa
DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
ESL
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation
FaderNetworks
Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017
gantk2
GAN(TK)²: GAN Neural Tangent Kernel ToolKit
incremental_learning.pytorch
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
LEADS
Learning Dynamical Systems that Generalize Across Environments
mixmo-pytorch
Official Pytorch implementation of MixMo framework
NACA_simulation
Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.
PARENTing-rl
Code for PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation (Rebuffel, Soulier, Scoutheeten, Gallinari; INLG 2020)
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
srvp
Official implementation of the paper Stochastic Latent Residual Video Prediction