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cifar10_cnn

用Keras实现CIFAR-10图片分类

clever-tf-keras

Re-Implementation of [Cross-Lipschitz Extreme Value for nEtwork Robustness](https://github.com/huanzhang12/CLEVER) with Keras and TensorFlow

domaindrivenregreg

dynamical-isometry

Investivating dynamical isometry as described in: https://arxiv.org/pdf/1711.04735.pdf

dynamical-isometry-from-orthogonality-neural-nets

Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthogonal regularizer on RNNs with SeqMNIST dataset.

echostatenetwork

A simple Python implementation of EchoStateNetwork

esn

exprnn

Optimization with orthogonal constraints and on general manifolds

glista

source code of GLISTA

htr

ivts-ijcnn2024

liquid_time_constant_networks

Code Repository for Liquid Time-Constant Networks (LTCs)

mctorch

A manifold optimization library for deep learning

neurodiffeq

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

ng-rc-paper-code

Code for the paper "Next Generation Reservoir Computing"

nn-cuda-example

Several simple examples for popular neural network toolkits calling custom CUDA operators.

orthogonal-convolutional-neural-networks

Code for paper "Orthogonal Convolutional Neural Networks".

orthogonality-in-cnns

[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.

pointmlp-pytorch

[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

power_law

pymanopt

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

pytorch-jacobian

Implement efficient jacobian method available for most pytorch networks

sequencer

Sequencer: Deep LSTM for Image Classification

sodef

torchdiffeq

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

vars

Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)

vir