arewellborn
Electrical Engineer working in the power industry with a particular interest in applications of optimization, machine learning, and AI.
arewellborn's Stars
neuraloperator/neuraloperator
Learning in infinite dimension with neural operators.
IBM/neuro-vector-symbolic-architectures
PyTorch Implementation of the paper "A Neuro-vector-symbolic architecture for Solving Raven's Progressive Matrices" published in Nature Machine Intelligence 2023.
Chen-Cai-OSU/awesome-equivariant-network
Paper list for equivariant neural network
coxlab/prednet
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
raminmh/liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
mlech26l/ncps
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
zcrwind/PredNet_pytorch
A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.
jonkhler/s2cnn
Spherical CNNs
MilesCranmer/lagrangian_nns
Lagrangian Neural Networks
matinhosseiny/Inception-inspired-LSTM-for-Video-frame-Prediction