donghn's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
ethereum-mining/ethminer
Ethereum miner with OpenCL, CUDA and stratum support
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
ethereon/caffe-tensorflow
Caffe models in TensorFlow
huawei-noah/Efficient-Computing
Efficient computing methods developed by Huawei Noah's Ark Lab
clovaai/overhaul-distillation
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
mit-han-lab/haq
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
sseung0703/KD_methods_with_TF
Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)
taoyilee/clacc
Deep Learning Accelerator (Convolution Neural Networks)
matteo-dunnhofer/imagenet
TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
zhaohui-yang/LegoNet
A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
maael/SpikingNeuralNetwork
A python implementation of a spiking neural network with STDP and Reinforcement learning methods
stonne-simulator/stonne
STONNE: A Simulation Tool for Neural Networks Engines
d-li14/HBONet
[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2
SidHard/tfAlexNet
this is an implementation of alexnet with tensorflow. Run the train.py for training, and test.py for testing. You only need to config the picture folder path
stanford-futuredata/lit-code
Code for LIT, ICML 2019
jhkim610/Spiking_Neural_Network_Conversion
donghn/intel-caffe-old