MartinuzziFrancesco

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

marimo

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

rnn

Recurrent Neural Network library for Torch7's nn

Awesome-Remote-Sensing-Foundation-Models

attorch

A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.

uncertain_ground_truth

Dermatology ddx dataset, Jax implementations of Monte Carlo conformal prediction, plausibility regions and statistical annotation aggregation from our recent work on uncertain ground truth (TMLR'23 and ArXiv pre-print).

CTSM

Community Terrestrial Systems Model (includes the Community Land Model of CESM)

PyCX

PyCX is a Python-based sample code repository for complex systems research and education.

nbeatsx

n-hits

xbatcher

Batch generation from xarray datasets

dyffusion

[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

python-time-series-handbook

Material for the course "Time series analysis with Python"

MLJLinearModels.jl

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

neuralprocesses

A framework for composing Neural Processes in Python

CalculusWithJulia.jl

Support package for doing Calculus with Julia

scoringRules

scoring rules to evaluate probabilistic forecasts

BeforeIT.jl

A fast and modular Julia implementation of the macroeconomic ABM of [Poledna et al., European Economic Review (2023)]

CausalELM.jl

Taking causal inference to the extreme!

SimulationBasedInference.jl

A flexible toolkit for simulation based inference in Julia

AutoEncoderToolkit.jl

Julia package with several functions to train and analyze Autoencoder-based neural networks

AutoregressiveModels.jl

Essential toolkits for working with autoregressive models

ContinualLearning-EchoStateNetworks

Continual Learning with Echo State Networks experiments

TUM-Dynamics-Lecture

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

PiecewiseInference.jl

Inverse modelling framework for dynamical systems characterised by complex dynamics.

ai-refined-rtm

Self-supervised learning refined radiative transfer modelling to retrieve biophysical variables in forests

SciMLSANUM2024

Material for SciML Workshop at the South African Numerical and Applied Mathematics 2024 (SANUM2024) Conference.

dysts_data

Data files for the main dysts repository