xiedaomei

CMU15-213_introduction_to_computer_system

Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

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

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。

minimal_cmake_example

this tries to be a minimal cmake example, that covers sources resources dependencies and packaging.

Tensorflow-quantization-test

Tensorflow quantization (float32-->int8) inference test

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

EasyPR

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

Netron

Visualizer for deep learning and machine learning models

mAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

hello-world-

Hello World test

bitcoinwhitepaper

Bitcoin Whitepaper and Bitcoin Developer Guide 比特币白皮书 比特币开发者指南 中文版

CppMT

deep-residual-networks

Deep Residual Learning for Image Recognition