Lepaulski's repositories
Accurate-Binary-Convolution-Network
Binary Convolution Network for faster real-time processing in ASICs
awesome-rl
Reinforcement learning resources curated
Channel_selection_EA
Evolutionary algorithms used for channel selection.
UG-Project
An implementation for image classification using Q_CNN on Android phones(with apk involved in)
blog
A minimal and mobile-first blog theme for Jekyll
dcgan.caffe
A pure caffe-python implementation of DC-GAN
deep-residual-networks
Deep Residual Learning for Image Recognition
Dynamic-Network-Surgery
Caffe implementation for dynamic network surgery.
imagenet-multiGPU.torch
an imagenet example in torch.
impl-pruning-caffemodel
Simple pruning example using Caffe
LQ-Nets
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
MobileNet-Caffe
Caffe Implementation of Google's MobileNets (v1 and v2)
MobileNet-v2-caffe
MobileNet-v2 experimental network description for caffe
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
pytorch-classification
Classification for cifar10 in pytorch including alexnet, densenet, googlenet, lenet, resnet, vgg
pytorch-deform-conv
PyTorch implementation of Deformable Convolution
pytorchviz
A small package to create visualizations of PyTorch execution graphs
quantized-cnn
An efficient framework for convolutional neural networks
quantized_distillation
Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
RFBNet
Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
SegNet-Tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
ShuffleNet_V2_pytorch_caffe
ShuffleNet-V2 for both PyTorch and Caffe.
slimming
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
Two-Step-Quantization-AlexNet
Two-Step Quantization on AlexNet