Pinned Repositories
1-billion-word-language-modeling-benchmark
Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark
ai_playground
BitSplit
BitSplit Post-trining Quantization
caffe4video
FFN
Fixed-point Factorized Networks
MicroNetChallenge
Microsoft-Activation-Scripts
A collection of scripts for activating Microsoft products using HWID / KMS38 / Online KMS activation methods with a focus on open-source code, less antivirus detection and user-friendliness.
SiBNN
Two-Step-Quantization-AlexNet
Two-Step Quantization on AlexNet
peiswang's Repositories
peiswang/BitSplit
BitSplit Post-trining Quantization
peiswang/Two-Step-Quantization-AlexNet
Two-Step Quantization on AlexNet
peiswang/MicroNetChallenge
peiswang/ai_playground
peiswang/FFN
Fixed-point Factorized Networks
peiswang/Microsoft-Activation-Scripts
A collection of scripts for activating Microsoft products using HWID / KMS38 / Online KMS activation methods with a focus on open-source code, less antivirus detection and user-friendliness.
peiswang/SiBNN
peiswang/cnn-quantization
Quantization of Convolutional Neural networks.
peiswang/Deep-Compression-AlexNet
Deep Compression on AlexNet
peiswang/deeplabv3plus-pytorch
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
peiswang/deit
Official DeiT repository
peiswang/Firmware
PX4 Pro Autopilot Software
peiswang/gen-efficientnet-pytorch
Pretrained EfficientNet, MixNet, MobileNetV3 V2 and V1, MNASNet A1 and B1, FBNet, ChamNet, Single-Path NAS
peiswang/jetbot
An educational AI robot based on NVIDIA Jetson Nano.
peiswang/Kubernetes-GPU-Guide
This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
peiswang/L-DNQ
Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data
peiswang/Learning_to_See_in_the_Dark_PyTorch
Learning to See in the Dark in PyTorch
peiswang/micro-net-dnw
Submission for the Neurips 2019 Micro-net Challange
peiswang/MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK and PyTorch.
peiswang/orion
peiswang/peisongwang.github.io
peiswang/peiswang.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
peiswang/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
peiswang/pytorch-Learning-to-See-in-the-Dark
Learning to See in the Dark using pytorch 1.0.0
peiswang/pytorch-mobilenet-v2
A PyTorch implementation of MobileNet V2 architecture and pretrained model.
peiswang/pytorch-vdsr
VDSR (CVPR2016) pytorch implementation
peiswang/sshkhr.github.io
My personal website
peiswang/swa
Stochastic Weight Averaging in PyTorch
peiswang/Tiny-ImageNet-Classifier
Tiny-ImageNet Classifier using Pytorch
peiswang/wps712.github.io