Francesco Martinuzzi's starred repositories
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
spikingjelly
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
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).
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