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Code associated with our JAMES paper presenting a new deep learning method for SSH mapping from satellite altimetry and sea surface temperature observations
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS 2023 Spotlight)
Official dataset and codes of Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World[CVPR2024].
Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
U-Time: A Fully Convolutional Network for Time Series Segmentation
A challenge on the SWOT Karin instrumental error filtering organised by Datlas, IMT Altlantique and CLS.
Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
Implementation of TiTok, proposed by Bytedance in "An Image is Worth 32 Tokens for Reconstruction and Generation"
Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
The codebase of our paper "Improving the Training of Rectified Flows"
Nvidia Semantic Segmentation monorepo
Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
The official repository of BFSR: "Boosting Flow-based Generative Super-Resolution Models via Learned Prior" [CVPR 2024]
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)" (ICML 2024)
A framework for few-shot evaluation of language models.
Karras et al. (2022) diffusion models for PyTorch
Official repo for consistency models.
Official codes of CCSR: Improving the Stability of Diffusion Models for Content Consistent Super-Resolution
Implementation of Alphafold 3 in Pytorch
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research
Core implementation of the 4DVarNet architecture
Mutual Information Neural Estimation in Pytorch