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
ABI Breaking Change Demo
This is an supervised learning project to classify customer's sentiment toward Amazon products based on their comments. This is also my solution to the Amazon Product Sentiment Classification project in Machine Learning Specialization Courses at Coursera.
Word-Based Animal Guessing Game
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
AsyncSSH is a Python package which provides an asynchronous client and server implementation of the SSHv2 protocol on top of the Python asyncio framework. It requires Python 3.4 or later and the Python cryptography library for some cryptographic functions.
Audience SQL Database is a SQLite3 database designed for the management of the information of the VIP audience of China Dalian TV.
Automatic Red Eye Removal From Photos Using C++ and OpenCV
Environment Configuration Bash Scripts for New Operating Systems
Unix ASCII games
This is a backup repository to store old archieves.
TensorFlow code and pre-trained models for BERT
Binarize convolutional neural networks using pytorch :fire:
Pre-trained Language Model for Biomedical Question Answering
Show your latest blog posts from any sources or StackOverflow activity or Youtube Videos on your GitHub profile/project readme automatically using the RSS feed
Personal Website & Blog Theme for Hugo
Bongard-LOGO is a Python code repository with the purpose of generating synthetic Bongard problems on a large scale with little human intervention.
Docker for Boost C++ Library
Boost.org pool module
This boston house price predictor was developed using supervised learning techniques. It is able to predict the house price at Boston using the house attributes.
A file compression tool that implements the Byte Pair Encoding algorithm
This charity donor classifier was developed using supervised learning techniques. It is able to classify whether a person is a potential donor based on his or her attributes.
Chicago Community Crime Big Data App Implemented Using Lambda Architecture
中文独立博客列表
Chomp Game in Python with AI
CMake Examples for Noobs
Static Library VS Shared Library
COCO API - Dataset @ http://cocodataset.org/
Source code examples from the Parallel Forall Blog
Small Google Cloud Platform examples and code snippets.