ProbTS is a benchmarking toolkit for time series forecasting.

HPC setup for juliaup, julia and HPC key packages requiring system libraries

🌦️ A catalogue and categorization of AI-based weather forecasting models.

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

Julia implementation of the Kolmogorov-Arnold network with custom gradients for fast training.

State Space Models library in JAX

A classification framework to enhance your habitat distribution models

Spatial Implicit Neural Representations for Global-Scale Species Mapping - ICML 2023

Julia Programming for Machine Learning course at TU Berlin

StateSpaceLearning.jl is a Julia package for time-series analysis using state space learning framework.

Hybrid ML + physics model of the Earth's atmosphere

`@pack!` and `@unpack` macros

Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

A simple forest model to test the Janzen-Connell Hypothesis.

Repository for the ConScape package for landscape ecology

Lectures, code and material for the Modelling and Machine Learning of Dynamical Systems in Julia lecture at Technical University Munich

Code for "Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics"

Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection

More than a hundred strange attractors

Book on Julia for Data Science

An interface to various automatic differentiation backends in Julia.

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

A zoo of happy eco-evolutionary models.

[ISPRS 2024] Sat-SINR: High-Resolution Species Distribution Models through Satellite Imagery

Biologically-informed neural networks

Remote sensing pretrained models easy loading using huggingface -- PyTorch

This is the repository for the BioCLIP model and the TreeOfLife-10M dataset [CVPR'24 Oral, Best Student Paper].