Pinned Repositories
evol-q
Quantization in the Jagged Loss Landscape of Vision Transformers
hyperpower
Hardware-aware Neural Network (Keras+TensorFlow) Hyper-parameter Optimization (Bayesian optimization)
Joslim
Official codebase for our paper "Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks"
Label-Granularity
Understanding the Impact of Label Granularity on CNN-based Image Classification
LeGR
CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"
MaxEVA
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine (accepted as full paper at FPT'23)
NeuralPower
The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks
Renofeation
single-path-nas
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
supmae
This is a offical PyTorch/GPU implementation of SupMAE.
EnyAC's Repositories
enyac-group/single-path-nas
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
enyac-group/LeGR
CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"
enyac-group/supmae
This is a offical PyTorch/GPU implementation of SupMAE.
enyac-group/NeuralPower
The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks
enyac-group/Renofeation
enyac-group/MaxEVA
MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine (accepted as full paper at FPT'23)
enyac-group/Joslim
Official codebase for our paper "Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks"
enyac-group/evol-q
Quantization in the Jagged Loss Landscape of Vision Transformers
enyac-group/hyperpower
Hardware-aware Neural Network (Keras+TensorFlow) Hyper-parameter Optimization (Bayesian optimization)
enyac-group/Label-Granularity
Understanding the Impact of Label Granularity on CNN-based Image Classification
enyac-group/T-VSL
enyac-group/AdaScale
code for AdaScale MLSys'19 https://proceedings.mlsys.org/book/275.pdf
enyac-group/VirtualPooling
enyac-group/cmu-enyac.github.io
enyac-group/MA-AVT
enyac-group/SSVOD
enyac-group/DistributionLoss
Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"
enyac-group/PareCO
The repository for PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks
enyac-group/mamba
Mamba SSM architecture