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Starred repositories
LaTeX class and template for Marie Skłodowska-Curie Actions Postdoctoral Fellow (MSCA-PF) grant applications
Open-source, low-cost 10.5 GHz PLFM phased array RADAR system
Machine learning for transportation data imputation and prediction.
ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP
A browser-based visualization framework for exploring and analyzing Zarr and NetCDF datasets.
Modular, GPU-capable land surface model of the CliMA Earth System Model, designed for data-driven parameterizations
Graph-based weather forecasting models. Originally, PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
Documentation for the DeepESDL project
A browser based visualization toolkit for the SeasFire data cube.
An open and accessible datacube for environmental and earth system monitoring
Code for the School of AI challenge "Explainable AI for Wildfire Forecasting", sponsored by Pi School to help NOA, the National Observatory of Athens, work with Explainable Deep Learning for Wildfi…
SINDBAD is a model data integration framework that encompasses the biogeochemical cycles of water and carbon, allows for extensive and flexible integration of parsimonious models with a diverse set…
Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
Visualization, processing and analysis of Lidar point clouds, mainly focused on forest environment. New version of 3D Forest. Process files with terabytes of data. Edit new point attributes. Simple…
An Awesome List of the latest time series papers and code from top AI venues.
Mitsuba 3: A Retargetable Forward and Inverse Renderer
A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has …
A Python library to capture the energy consumption of code snippets
Visualization tool for point cloud and feature extracted from deep learning network
[CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation
A list of papers and datasets about point cloud analysis (processing)