Gokul Krishnan's starred repositories
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
Awesome-Pruning
A curated list of neural network pruning resources.
Neural-Networks-on-Silicon
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
siliconcompiler
A modular build system for hardware
vision_networks
Repo about neural networks for images handling
Tensorflow-quantization-test
Tensorflow quantization (float32-->int8) inference test
tf-imagenet
TensorFlow ImageNet - Training and SOTA checkpoints
accelerator-wall
Repository for the tools and non-commercial data used for the "Accelerator wall" paper.
DNN_NeuroSim_V1.0
Benchmark framework of compute-in-memory based accelerators for deep neural network
Neural-Networks-on-Silicon
This is a collection of works on neural networks and neural accelerators.
MNSIM_Python
MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1
MLP_NeuroSim_V2.0
Benchmark framework of synaptic device technologies for a simple neural network