akasan Goto Github PK

followers: 6.0 following: 40.0 repos: 66.0 gists: 6.0

Name: Daisuke Akagawa

Type: User

Company: AnyTech

Bio: AI engineer, sudying AI and related fields.

Location: Kyoto, Japan

Blog: https://akasan.github.io/

Languages

Python
- Web Application (FastAPI)
- GUI (Tkinter, etc.)
- Artificial Intelligence(scikit-learn, numpy, PyTorch etc.)
- Library development
- etc.
C#(.NET)
C/C++
Swift
HTML / CSS
- tailwind css
JavaScript/TypeScript
- React
- Next.js
SQL
- MySQL
- PostgreSQL
NoSQL
- redis
Golang

Skills

data science
Web Development
- Backend: RESTful, GraphQL
  - Python(FastAPI)
control robot
develop software of AI, machine learning and related fileds
develop libraries
develop .Net Core Application
image processing
ML / AI development
DevOps, CI/CD (GitHub Actions)

Cloud

Tools

Github(actions)
Slack
Docker
Notion

OS

Windows (including WSL)
Mac OS X
Linux

Version Controlling

Movie

DaVinci Resolve

Interest

Artificial Intelligence / Machine Learning
Optimization Algorithm
Software Development
OSS Development
Web development
Movie editting

Research Topic

At College

My research topic was optimization algorithm, especially Ant Colony Optimization for Traveling Salesman Problem(TSP). I also used Genetic Algorithm and some other algorithms.

LICENSE

All developments are under MIT License. Please use them as you want.

Conference

SIGGRAPH 2021 Sustainable Society With a Touchless Solution Using UbiMouse Under the Pandemic of COVID-19
- Link

Contact

I'm looking for someone who can develop software with. Feel free to contact me if you have interests.

Daisuke Akagawa's Projects

ansible-fastapi-server

Docker container for FastAPI server managed by ansible

antcolonyoptimization

Implementation of Ant Colony Optimization (ACO)

artificial-intelligence-with-python

Code repository for Artificial Intelligence with Python, published by Packt

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

bayesian-neural-network-mnist

Bayesian neural network using Pyro and PyTorch on MNIST dataset

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

cprogressbar

Toy implementation of progress bar in C++

d2l-pytorch

This is an attempt to modify Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook's code into PyTorch.

deap

Distributed Evolutionary Algorithms in Python

deepanomalydetection_benchmark

Benchmark for DeepLearning anomaly detection

gacs

Implementation of Genetic Algorithm in C#

ganhacks

starter from "How to Train a GAN?" at NIPS2016

Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget (https://gitgitgadget.github.io/). Please follow Documentation/SubmittingPatches procedure for any of your improvements.