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andi_datasets

ANDI provides the necessary functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the Anomalous Diffusion (ANDI) Challenge.

deepymod_sbl

Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]

deplacement.fr

docker-stacks

Ready-to-run Docker images containing Jupyter applications

flax

Flax is a neural network library for JAX that is designed for flexibility.

flytracker

gitignore

A collection of useful .gitignore templates

gjboth.github.io

jacho

Reservoir computing using Jax.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jupyter-book

Build interactive, publication-quality documents from Jupyter Notebooks

linux-tiscamera-programming-samples

Programming samples in Python and C++ for the tiscamera GStreamer modules.

mabaca

A python-based magnonic bandstructure calculator

masters-thesis

My masters thesis.

modax

DL-based model discovery using Jax.

model-zoo

Please do not feed the models

multiplicative-filter-networks

Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.

multitaskpinn

pde-find

physicsbootcamp

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

probabilisticai_tutorials

Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School (https://probabilistic.ai/)

reservoir-computing-kernels

rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

slmpy

A simple Python module based on wxPython to interact with spatial light modulators handled as secondary monitors.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

umnn

Implementation of Unrestricted Monotonic Neural Network and the related experiments.