Name: Lei Mao
Type: User
Company: @NVIDIA
Bio: Artificial Intelligence, Machine Learning, Computer Science.
C++, CUDA, Python, CMake.
Twitter: matchaleimao
Location: Silicon Valley, California
Blog: https://leimao.github.io/
Lei Mao's Projects
Flappy Bird Artificial Intelligence
Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x
Low-precision matrix multiplication
Handwritten Digits Generator using Different Generative Adversarial Networks on MNIST Dataset
Structured Binary Neural Networks for Image Recognition
gRPC Beginner's C++ Examples with CMake
[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Heroku CLI Dockerfile
Deploy Docker Applications on Heroku
A collection of Inferno.js layout components and utility scripts for Hexo
A simple, delicate, and modern theme for the static site generator Hexo.
Snippet 简洁而不简单,也许是一款你寻找已久的hexo主题
This is an supervised learning project to help the bank making decision on whether or not lending money to certain person with his or her information. This is also my solution to the Identification of Safe Loans project in Machine Learning Specialization Courses at Coursera.
Image Converter Using CycleGAN and Non-Parallel Data
RGB Image Blurring Using CUDA and CMake
Image Resizer Web App Coded in Python
Activity Indicators for Modern C++
Maze Explorer and Solver
Sample applications for Google Kubernetes Engine (GKE)
ResNet Implementation, Training, and Inference Using LibTorch C++ API
Efficient Implementation of Logistic Regression from Scratch in Python
These are my solutions to Andrew Ng's Machine Learning course at Coursera.
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
mobilenetv3 with pytorch,provide pre-train model
Models and examples built with TensorFlow
MoeGirlMidas is a spidering program to crawl fictional characters' data from MoeGirl (https://zh.moegirl.org/Mainpage).
Fast & Simple Resource-Constrained Learning of Deep Network Structure
These are my solutions to the programming placement exam of the MPCS program at The University of Chicago.
Efficient Implementation of Multilayer Perceptron Classifier from Scratch in Python