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residual-network

Here are 11 public repositories matching this topic...

werner-duvaud / muzero-general

MuZero

machine-learning reinforcement-learning deep-learning neural-network deep-reinforcement-learning python3 pytorch gym mcts rl tensorboard residual-network monte-carlo-tree-search self-learning alphago model-based-rl alphazero muzero muzero-general

Updated Sep 3, 2024
Python

ritchieng / resnet-tensorflow

Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.

tensorflow tensorlayer residual-network

Updated Dec 16, 2016
Python

zhichao-lu / robust-residual-network

Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective

residual-network adversarial-robustness

Updated Jun 7, 2024
Python

deep-learning-algorithm / GoogLeNet

Implementation of GoogLeNet series Algorithm

pytorch batch-normalization inception residual-network googlenet residual-learning inception-v3 inception-resnet-v2 inception-v4 pascal-voc-2007 pascal-voc-2012 googlenet-bn inception-v2 inception-resnet-v1

Updated Jul 6, 2023
Python

stassev / RigNN-Mechanical-Linkage-Neural-Network

Python functions to create N-dimensional mechanical linkages consisting of struts and joints similar to the Strandbeest by Theo Jansen. The scripts allow one to treat the mechanical network of linkages between the struts as a non-linear neural net, which can be optimized to perform different functions. I call this a Rigid Neural Net (RigNN)

neural-network optimization nonlinear pytorch mechanical-engineering residual-network strandbeest mechanical-linkages nonlinear-neural-network physics-demonstration rignn engineering-demonstration n-dimensional-mechanics

Updated Mar 16, 2023
Python

deep-learning-algorithm / ResNet

Implementation of ResNet series Algorithm

pytorch resnet residual-network residual-learning resnet-50 resnet-18 resnet-34 resnet-101 resnet-152 densetnet densetnet-121 densetnet-169 densenet-201 densenet-264

Updated Jul 25, 2024
Python

bharatmahaur / LeNo

Code for paper: "Improved Residual Network Based on Norm-Preservation for Visual Recognition" https://doi.org/10.1016/j.neunet.2022.10.023

deep-neural-networks computer-vision deep-learning pytorch imagenet image-recognition resnet convolutional-neural-networks residual-network resnext gradient-flow visual-recognition wideresnet optimization-problem gradient-analysis norm-preservation gradient-norm leno-resnet optimization-stability

Updated Oct 31, 2022
Python

AndyVale / benchmarks_vnncomp

A reorganized collection of benchmarks from VNNCOMP since 2022, divided into three categories: fully connected, convolutional, and residual networks. Each category is available as a submodule, allowing you to download individual categories or all of them at once.

neural-network neural-networks benchmarks residual-network fully-connected-network convolutional-network neural-network-verification vnncomp

Updated Oct 4, 2024
Python

UCL-CCS / DRTNN

Deep Residual Transformer Neural Network (DRTNN)

neural-network transformer residual-network surrogate-model

Updated May 21, 2022
Python

narumiruna / pytorch-cifar10

accuracy ~ 91%

pytorch residual-network cifar10

Updated Apr 9, 2018
Python

asorbo / BananaComputerVision

Bachelor Thesis of AI on banana state estimation using CNNs for waste reduction

computer-vision image-classification convolutional-neural-networks transfer-learning residual-network perishable-goods-freshness food-waste-reduction

Updated Jul 7, 2023
Python

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