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Efficient Neural Network

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AkhilanB/CNN-Cert

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/BR-IDL/PaddleViT/tree/develop/image_classification/MobileOne

MobileOne: An Improved One millisecond Mobile Backbone

https://github.com/BenWhetton/keras-surgeon

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

https://github.com/BraiNEdarwin/brains-py

Dopant Network Processing Units: Towards Efficient Neural-network Emulators with High-capacity Nanoelectronic Nodes

https://github.com/CROWN-Robustness/Crown

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/Guang000/Awesome-Dataset-Distillation

Distilling Long-tailed Datasets

https://github.com/IBM/CROWN-Robustness-Certification

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/Kaustav97/Colab

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/Mind23-2/MindCode-24

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

https://github.com/Mind23-2/MindCode-3/tree/main/lenet

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

https://github.com/MindSpore-MS-Code2/code0/tree/main/E-NET

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/MindSpore-paper-code-3/code8/tree/main/E-NET

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/NeuralNetworkVerification/Marabou

Efficient Neural Network Analysis with Sum-of-Infeasibilities

https://github.com/PRBonn/bonnet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/PaddlePaddle/PaddleDetection

MobileOne: An Improved One millisecond Mobile Backbone

https://github.com/PaddlePaddle/PaddleSeg

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/Shun14/enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/TimoSaemann/ENet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/Verified-Intelligence/alpha-beta-CROWN_vnncomp2024

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/XuyangSHEN/lane_detection_enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/ZhaoyangLyu/FROWN

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/adderbyte/ImageSegmentationTensorflow

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

https://github.com/adderbyte/MultiClassLabelSegTF

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

https://github.com/adderbyte/MultiClassSegmentationTensorflow

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

https://github.com/adrshm91/segmentationEnet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/alalagong/LEDNet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/alililia/ascend_E-NET

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/anik-UCB/CNN-CardioPrediction

An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction

https://github.com/anwu1219/Marabou

Efficient Neural Network Analysis with Sum-of-Infeasibilities

https://github.com/aria-systems-group/formal-deep-kernel-synthesis

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/arturjordao/PruningNeuralNetworks

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

https://github.com/avrahamraviv/formal-verification-of-object-detection

Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/bhattbhavesh91/lane-detection-enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/biarmic/pytorch-compression-for-mcu

Efficient Neural Network Deployment for Microcontroller

https://github.com/cardwing/Codes-for-Lane-Detection

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

https://github.com/chengpengchen/repghost

MobileOne: An Improved One millisecond Mobile Backbone

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.