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apl745-assignment-8

Implementing Deeponet

appendices

Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production

arctic-research

armsglobe

Arms Globe Visualization

atspy

Automated Time Series Models in Python (AtsPy)

autograd-hacks

autokoopman

AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.

automaticweightedloss

Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

autoregreg

awesome-computational-neuro-science

A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥

awesome-deep-snn

A curated list of awesome deep spiking neural networks projects

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-high-order-neural-network

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-neuromorphic

A curated list of awesome neuromorphic frameworks, libraries, resources, and other things

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-snn

🔥🔥🔥A collection of some awesome public SNN(Spiking Neural Network) projects.

awesome-snn-conference-paper

🔥 This repo collects summit papers, codes about Spiking Neural Networks for anyone who wants to do research on it. We are continuously improving the project.

awesome-spiking-neural-networks

A curated list of materials for Spiking Neural Networks, 3rd generation of artificial neural networks.

awesome-spiking-neural-networks1

A paper list of spiking neural networks, including papers, codes, and related websites.

awesome-spiking-neural-networks2

Awesome Spiking Neural Networks

bacon

Official respository for "Band-limited Coordinate Networks for Multiscale Scene Representation" | CVPR 2022

bahar

Automatically exported from code.google.com/p/bahar

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bci-2021-riemannian-geometry-workshop

Riemannian Geometry workshop at vBCI Meeting 2021

bda_py_demos

Bayesian Data Analysis demos for Python

beaglebone

Derek Molloy DCU Repository of code used in the Beaglebone videos on my YouTube Channel

beagleboneqt

A Beaglebone QT example

beefly

Dynamic visualization training service in Jupyter Notebook for Keras tf.keras and others.

beppinns

BEP of Jort Bouma TU Delft