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pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

pytorch_geometric

Graph Neural Network Library for PyTorch

qhmc

Quantum-inspired Hamiltonian Monte Carlo code

quantgpt

powerful ai-copilot for quant traders and researchers

radiativetransfer

Theory of Functional Connections to solve the Chandrasekhar’s Basic Problem in Radiative Transfer

rbf-kan

RBF based Kolmogorov Arnold Network

relation

relation-matlab

relu_kan

reservoir

Implementation of a reservoir computer

rnn_compression_expansion

Code to generate the figures for the manuscript "Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion" published in Nature Machine Intelligence.

ros-examples

Regression and other stories R examples

routingproblemgann

rtrmc

Low-rank matrix completion code from 2011 and 2015 papers

rustpython

A Python Interpreter written in Rust

sbinn

SBINN: Systems-biology informed neural network

schrodinger-pca

Schrodinger Principal Component Analysis

scut-thesis

华南理工大学学位论文 Latex/Lyx 模板----latex for SCUT thesis

sdes

Simulating SDEs using Euler's discretization.

sid

discovering interpretable conservation laws from differential equations

simple-kan-4-time-series

A simple feature-based time series classifier using Kolmogorov–Arnold Networks

single-channel-eeg-denoise

sjtu-11th-cns-winter-school

Tutorial repo for 11th computational neuroscience winter school @LCNS-SJTU.

slide-videos

social-network-analysis

This is the repository for the paper "A social network analysis of collaborative governance for the food-energy-water nexus in Phoenix, Arizona, USA."

son_regression

Discrete regression curves on rotation group SO(n)

spikingjelly

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

static-export-template

A template to automatically convert Pluto notebooks to an HTML website with GitHub Pages. Demo page:

statsr

Companion package for the Coursera Statistics with R specialization

stiff-chemical-kinetics

Physics-Informed Neural Networks and Functional Interpolation for Stiff Chemical Kinetics