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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/ARM-software/CMSIS_5

공식 코드

CMSIS-NN: Efficient Neural Network Kernels for Arm Cortex-M CPUs

https://github.com/Devin-Egber/UV-Mamba

공식 코드

UV-Mamba: A DCN-Enhanced State Space Model for Urban Village Boundary Identification in High-Resolution Remote Sensing Images

https://github.com/HugoTessier-lab/SWD

공식 코드

Rethinking Weight Decay For Efficient Neural Network Pruning

https://github.com/Hyeji-Kim/ENC

공식 코드

Efficient Neural Network Compression

https://github.com/Interlagos/TENet-kws

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Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution

https://github.com/M4gicT0/autonomous-drone-racing

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Image Generation for Efficient Neural Network Training in Autonomous Drone Racing

https://github.com/NICALab/BEAR

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Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data

https://github.com/Owen-Liuyuxuan/visualDet3D

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Ground-aware Monocular 3D Object Detection for Autonomous Driving

https://github.com/QingbeiGuo/DNAL

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Differentiable Neural Architecture Learning for Efficient Neural Network Design

https://github.com/ShaowuChen/JointSVD

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Joint Matrix Decomposition for Deep Convolutional Neural Networks Compression

https://github.com/TomG008/SkyNet

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SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

https://github.com/YesmineAbdennadher/LightSNN

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LightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks

https://github.com/amazon-research/wqa-cerberus

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Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems

https://github.com/anonymous47823493/EagleEye

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EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

https://github.com/apple/ml-mobileone

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MobileOne: An Improved One millisecond Mobile Backbone

https://github.com/aselsan-research-imaging-team/flight-net

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FLIGHT Mode On: A Feather-Light Network for Low-Light Image Enhancement

https://github.com/awai54st/LUTNet

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LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference

https://github.com/awai54st/logic-shrinkage

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Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference

https://github.com/bo-liu-tum/encodingnet

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EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration

https://github.com/bollossom/GAC

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Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks

https://github.com/brain-inspired-cognitive-engine/conversion_burst

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Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes

https://github.com/camma-public/team-or

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When do they StOP?: A First Step Towards Automatically Identifying Team Communication in the Operating Room

https://github.com/captaintrojan/electrocardioguard

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ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram Databases through Neural Networks

https://github.com/cyber-physical-systems-group/orthogonal-neural-networks

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Orthogonal Transforms in Neural Networks Amount to Effective Regularization

https://github.com/diff7/QuanToaster

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QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise

https://github.com/emorymlip/cot-flow

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Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference

https://github.com/emorymlip/pcp-map

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Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference

https://github.com/erdongsanshi/FFNet

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The Effectiveness of a Simplified Model Structure for Crowd Counting

https://github.com/etzinis/sudo_rm_rf

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Sudo rm -rf: Efficient Networks for Universal Audio Source Separation

https://github.com/felix-petersen/difflogic

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Deep Differentiable Logic Gate Networks

https://github.com/gigantenbein/UNet-Zoo

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RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation

https://github.com/hkust-vgd/shellnet

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ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

https://github.com/huanzhang12/CROWN-Robustness-Certification

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Efficient Neural Network Robustness Certification with General Activation Functions

https://github.com/ist-daslab/halo

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HALO: Hadamard-Assisted Lower-Precision Optimization for LLMs

https://github.com/jayroxis/qres

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Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs

https://github.com/jkulhanek/a2cat-vn-pytorch

공식 코드

Vision-based Navigation Using Deep Reinforcement Learning

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