Useful linux commands
Here are some useful linux commands.
Notes
- programming tools and environments 11
- problem solving 9
- computer vision 2
- Deep Learning 2
- monte carlo process 1
- cobweb model 1
- Embedded System 1
- Raspberry Pi 1
- math 1
- github 1
- Problem Solving 1
- pytorch 1
- Metrics 1
- Machine Learning 1
- CNN 1
programming tools and environments
Useful shellscripts
Here are some useful shell scripts.
Tensorboard cheatsheet
Here are some useful tips to use tensorboard.
Git cheatsheet
Here are some useful tips to use git.
Conda cheatsheet
Here are some useful tips to set conda environments.
Introduction to docker
Here are some useful tips to use docker.
How to setup ubuntu mirror page
For faster apt update, you’ll need mirror page, close to your own location. setup can be done as follows.
tmux cheatsheet
Do you want to deal with multiple terminals at once? Here’s something that I need for Tmux editor.
Vim cheatsheet
Something that I need for VIM editor
GDB cheatsheet
Something that I need for GDB
GCC cheatsheet
Something that I need for GCC
problem solving
Problem Solving Basis - Dijkstra
Find shortest path, given starting node, with positive path distance.
Problem Solving Basis - Binary Search
Fast way to find the element in sorted data: binary search
Problem Solving Basis - DFS, BFS
DFS (Depth First Search) and BFS (Breadth First Search).
Problem Solving Basis - Topological Sort
How can we program the computer to wear socks first, and then shoes?
Problem Solving Basis - Floyd Warshall
In dijkstra algorithm, we have seen single source shortest path algorithm. How about multiple sources? In other words, what if we want to know every pairs of...
Problem Solving Basis - Minimum Spanning Tree
How can we design the most efficient network of nodes?
Problem Solving Basis - Disjoint Set
How can we implement set without intersection?
Problem Solving Basis - Segment Tree
How can we process aggregate queries, in more efficient way?
Problem Solving Basis - DFS, BFS
Starting point of Problem Solving is to find all possible cases.
computer vision
Try MNIST with Keras 2: 99% with CNN
We have implemented base models for MNIST with keras. How can we implement more sophisticated version?
Try MNIST with Keras 1: Linear Model as a basecamp
MNIST is the starting point of Computer Vision Research. Let’s try them with Keras.
Deep Learning
Implementing VAE
Let’s implement VAE using MNIST dataset!
Variational Autoencoder
What is Variational Autoencoder?
monte carlo process
Monte Carlo Process: 𝜋 approximation
The task is to compute an approximation to 𝜋 using Monte Carlo.
cobweb model
Cobweb Process Modeling with Python
The task is to devise a model representing Cobweb Process.
Embedded System
Embedded Systems: Cross Compilation
Using host machine to compile codes that is active on target machine.
Raspberry Pi
Embedded Systems: Cross Compilation
Using host machine to compile codes that is active on target machine.
math
Mathematical Notations with Mathjax
Let’s try some mathematical notations with MathJax.
github
Token Authentication for Github
Issues related to failure of password authentication on github have occurred.
Problem Solving
N for Loops
How can we set up n for loops for the problem solvings?
pytorch
Pytorch cheatsheet
This post is about pytorch cheatsheet. Commonly used codes and flows are introduced to boost my performance!
Metrics
Classification Metrics: Accuracy is not enough
Sometimes, accuracy isn’t enough as a metric to evaluate classifier’s performance. Are there any other metrics more than that? Let’s discuss the ways to meas...
Machine Learning
On the principle of learning MSE
We usually use mean square error (MSE) as our machine learning softwares’ objective. What makes it valid objective function?
CNN
CNN
CNN shortcuts