Name: Kevin Miao
Type: User
Company: Apple, Inc.
Bio: ML Research @ Apple Vision Products Group, Lecturer @ UC Berkeley Data Science | XAI, SSL, CVML
Previously: Berkeley AI Research (BAIR)
Twitter: KJHMiao
Location: San Francisco Bay Area
Blog: kevin-miao.com
Kevin Miao's Projects
Archives of old exams from Data 8
Business Jekyll Theme for your business
A Jekyll theme for academia
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
JupyterHubs for use by Berkeley enrolled students
Edasio is an online restaurant management system that takes care of online bookings, provides personalized customer experience and gives the owner real-time key insights about pattern and trends.
Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
Gitlet is an academic project for the Data Structures class CS61BL at UC Berkeley created by professor Hilfinger. It is a version-control system that mimics fundamental features of Git. The design and coding (except for some provided functions by the course staff) has been completely done by Evan Chin and Kevin Miao. Code will not be posted online but can be sent upon request.
A modern, high customizable, responsive Jekyll theme for documention with built-in search.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
MRI-Alzheimers is a classification project heavily relying on Tensorflow to predict Alzheimer's disease based on data from 500+ visual MRI scans collected by HHMI.
My personal website! Feel free to visit it and contact me about it. I forked this website from mmistakes/minimal-mistakes.
Cancer Prediction
Galada is an easy and simple blog theme for Jekyll.
Project Vejovis focuses on deploying Machine Learning, Time Series Analysis and Natural Language Processing to combat the challenges that the COVID-19 health crisis posed for society. This simple yet comprehensive dashboard should be able to combat Fake News, create reliable prediction models as well as harbor a safe space for those who are overwhelmed by the endless stream of information.
Tensors and Dynamic neural networks in Python with strong GPU acceleration