Pinned Repositories
.github
A collection of tools by MLIA.
CoDA
datamaestro
Scripts to automatize and standardize dataset handling
diwa
DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
DNER
dytox
Dynamic Task Expansion with Continual Transformers, accepted at CVPR 2022
experimaestro-python
Experimaestro (python version)
flow
Implementation of our ICLR paper: https://openreview.net/pdf?id=By4HsfWAZ
kymatio
Wavelet scattering transforms in Python with GPU acceleration
multi_scale_graph_neural_operator
MLIA's Repositories
MLIA/.github
A collection of tools by MLIA.
MLIA/CoDA
MLIA/datamaestro
Scripts to automatize and standardize dataset handling
MLIA/DINo
Neural PDE forecaster based on INRs and ODEs
MLIA/diwa
DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
MLIA/DNER
MLIA/dytox
Dynamic Task Expansion with Continual Transformers, accepted at CVPR 2022
MLIA/experimaestro-python
Experimaestro (python version)
MLIA/kymatio
Wavelet scattering transforms in Python with GPU acceleration
MLIA/multi_scale_graph_neural_operator
MLIA/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.
MLIA/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.
MLIA/APHYNITY
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
MLIA/Complex-Answer-Generation
MLIA/continual_learning_of_long_topic
MLIA/continuum
A clean and simple data loading library for Continual Learning
MLIA/CVPR2021_PLOP
Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation
MLIA/DADAO
Implementation of DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization for Time-Varying Gossips.
MLIA/data-to-text-hierarchical
Code for A Hierarchical Model for Data-to-Text Generation (Rebuffel, Soulier, Scoutheeten, Gallinari; ECIR 2020)
MLIA/ESL
ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation
MLIA/FaderNetworks
Fader Networks: Manipulating Images by Sliding Attributes - NIPS 2017
MLIA/fairseq-mlevt
Fork from Fairseq Toolkit written in Python for Multi-Levenshtein Transformer.
MLIA/gantk2
GAN(TK)²: GAN Neural Tangent Kernel ToolKit
MLIA/incremental_learning.pytorch
A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
MLIA/LEADS
Learning Dynamical Systems that Generalize Across Environments
MLIA/NACA_simulation
Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.
MLIA/srvp
Official implementation of the paper Stochastic Latent Residual Video Prediction
MLIA/UnsupervisedScalableRepresentationLearningTimeSeries
Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
MLIA/xomx
a python library providing data processing and machine learning tools for computational omics, with emphasis on explainability
MLIA/xpag
a modular reinforcement learning library with JAX agents