Layout Setting for Plotly
Canva size, axis, inset, multi-plot, and more
Learn Machine Learning with FlammingFrost 🤗
Mainly focus on maching learning. Just tackle with codes everywhere :-). Hope some of my experience will be helpful to you.
Recent Posts
Network Science Notes 1: Random Network
The analysis of network science is basically based on graph theory. We use some quantitative measures to describe the structure of a network and analyze its properties.
Network Science Notes 2: Random Network
Random networks are the simplest type of network. By studying random networks, I get to know what aspects of a network are important and how to measure them.
Network Science Notes 3: Scale-Free Network
Deviated from the random network, the scale-free network has a power-law degree distribution and seems to be more common in real-world networks. What's the intrinsic mechanism behind it?
Network Science Notes 4: Growing Network
In this note we generate a network by adding nodes and links one by one (The Barabási-Albert Model), this mechanism will help to explain hubs and degree distribution in real-world networks.
Cheetsheet for Python os module
Some useful commands for Python os module, especially IO operations and file system operations.
Customize your PyTorch Dataset
A guide to customize your PyTorch Dataset. This is the first step for your PyTorch project.
Some Notes for Betaflight
Recording some difficulties I encountered and the solutions I found when using Betaflight. PID tuning, receiver setup, VTX setup, etc.
Debugging Python with pdb
Use pdb to debug python code. Cheat sheet.
Tensorboard Cheet Sheet (SummaryWriter)
List some commonly used commands for tensorboard.
My Projects
Find Your Disher @ Stanford Dining
A AI-powered ETL system to help you find your disher at Stanford Dining.
