Pinned Repositories
bgslibrary
A background subtraction library
caffe
Caffe: a fast open framework for deep learning.
deep-residual-networks
Deep Residual Learning for Image Recognition
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
gitignore
A collection of useful .gitignore templates
Gxllii.github.io
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Gxllii's Repositories
Gxllii/bgslibrary
A background subtraction library
Gxllii/caffe
Caffe: a fast open framework for deep learning.
Gxllii/deep-residual-networks
Deep Residual Learning for Image Recognition
Gxllii/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Gxllii/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Gxllii/gitignore
A collection of useful .gitignore templates
Gxllii/Gxllii.github.io
Gxllii/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Gxllii/nni
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
Gxllii/oneDNN
oneAPI Deep Neural Network Library (oneDNN)
Gxllii/PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
Gxllii/resnet-cifar10-caffe
ResNet-20/32/44/56/110 on CIFAR-10 with Caffe
Gxllii/resnet-imagenet-caffe
train resnet on imagenet from scratch with caffe
Gxllii/soft-filter-pruning
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
Gxllii/sparse-winograd-cnn
Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
Gxllii/U-NET-for-Caffe
U-Net with upsampling layer under caffe
Gxllii/unet
用caffe实现Unet
Gxllii/unet-caffe
U-Net implemented by Caffe Deep Learning framework
Gxllii/vgg-caffe
The VGG16 and VGG19 networks in caffe with jupyter notebook
Gxllii/winograd-fft-conv