EnyAC

EnyAC's repositories

single-path-nas

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

Language:PythonApache-2.0395 15 15

LeGR

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

Language:PythonApache-2.0113 8 11

supmae

This is a offical PyTorch/GPU implementation of SupMAE.

Language:Jupyter NotebookNOASSERTION76 4 5

NeuralPower

The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks

Language:PythonApache-2.019 3 6

Renofeation

Language:Python19 5 1

MaxEVA

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

Language:C++NOASSERTION14 4 2

Joslim

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

Language:Python12 2 1

evol-q

Quantization in the Jagged Loss Landscape of Vision Transformers

Language:PythonApache-2.010 50

hyperpower

Hardware-aware Neural Network (Keras+TensorFlow) Hyper-parameter Optimization (Bayesian optimization)

Language:PythonMIT6 5 1

Label-Granularity

Understanding the Impact of Label Granularity on CNN-based Image Classification

Language:Jupyter NotebookMIT5 40

T-VSL

Language:PythonNOASSERTION5 4 1

AdaScale

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

Language:PythonApache-2.04 3 1

VirtualPooling

Language:C++NOASSERTION4 40

cmu-enyac.github.io

Language:HTMLMIT3 40

MA-AVT

Language:PythonNOASSERTION200

SSVOD

2 4 2

DistributionLoss

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

1 60

PareCO

The repository for PareCO: Pareto-aware Channel Optimization for Slimmable Neural Networks

Language:Python1 20

mamba

Mamba SSM architecture

Apache-2.0000