Pinned Repositories
bitcoinwhitepaper
Bitcoin Whitepaper and Bitcoin Developer Guide 比特币白皮书 比特币开发者指南 中文版
CMU15-213_introduction_to_computer_system
CppMT
deep-residual-networks
Deep Residual Learning for Image Recognition
EasyPR
An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.
hello-world-
Hello World test
interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
minimal_cmake_example
this tries to be a minimal cmake example, that covers sources resources dependencies and packaging.
Netron
Visualizer for deep learning and machine learning models
xiedaomei's Repositories
xiedaomei/Netron
Visualizer for deep learning and machine learning models
xiedaomei/bitcoinwhitepaper
Bitcoin Whitepaper and Bitcoin Developer Guide 比特币白皮书 比特币开发者指南 中文版
xiedaomei/CMU15-213_introduction_to_computer_system
xiedaomei/CppMT
xiedaomei/deep-residual-networks
Deep Residual Learning for Image Recognition
xiedaomei/EasyPR
An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.
xiedaomei/hello-world-
Hello World test
xiedaomei/interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
xiedaomei/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
xiedaomei/minimal_cmake_example
this tries to be a minimal cmake example, that covers sources resources dependencies and packaging.
xiedaomei/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
xiedaomei/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
xiedaomei/Tensorflow-quantization-test
Tensorflow quantization (float32-->int8) inference test
xiedaomei/tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators