enyac-group/MaxEVA enyac-group/MaxEVA

  • Stars
    star
    14
  • Rank 1,430,299 (Top 29 %)
  • Language
    C++
  • License
    Other
  • Created 11 months ago
  • Updated 5 months ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
enyac-group/MaxEVA
github

enyac-group

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

MaxEVA: Maximizing the Efficiency of Matrix Multiplication on Versal AI Engine (accepted as full paper at FPT'23)

More Repositories

1

single-path-nas

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours
Python
395
star
2

LeGR

CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"
Python
113
star
3

supmae

This is a offical PyTorch/GPU implementation of SupMAE.
Jupyter Notebook
76
star
4

Renofeation

Python
19
star
5

NeuralPower

The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks
Python
19
star
6

Joslim

Official codebase for our paper "Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks"
Python
12
star
7

evol-q

Quantization in the Jagged Loss Landscape of Vision Transformers
Python
10
star
8

T-VSL

Python
6
star
9

hyperpower

Hardware-aware Neural Network (Keras+TensorFlow) Hyper-parameter Optimization (Bayesian optimization)
Python
6
star
10

Label-Granularity

Understanding the Impact of Label Granularity on CNN-based Image Classification
Jupyter Notebook
5
star
11

VirtualPooling

C++
4
star
12

AdaScale

code for AdaScale MLSys'19 https://proceedings.mlsys.org/book/275.pdf
Python
4
star
13

cmu-enyac.github.io

HTML
3
star
14

MA-AVT

Python
2
star
15

SSVOD

2
star
16

PareCO

The repository for PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks
Python
1
star
17

DistributionLoss

Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"
1
star