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I’m @nickuntitled (Kittisak Chotikkakamthorn)

An experienced engineer with medical and engineering degrees developed machine learning/deep learning, deployed the trained model on production with the limited server resources, and applied machine learning models to solve medical problems.

My focused interest is related to Python, SQL, Docker, Git, Linux, Machine Learning (with Deep Learning framework from PyTorch/Tensorflow), Computer Vision, and Applied Artificial Intelligence in Medicine. For those who are interested, follow me on https://nickuntitled.com or Linkedin.

Kittisak's Projects

3ddfa_v2 icon 3ddfa_v2

The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.

asmnet icon asmnet

a Lightweight Deep Neural Network for Face Alignment and Pose Estimation

bot_currency_databricks icon bot_currency_databricks

A Databricks notebook is used for getting historical Bank of Taiwan (BOT) currency exchange rates on different currencies.

fan icon fan

face alignment python training code

fsa-net icon fsa-net

[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

hello-github icon hello-github

:octocat: Introduction to Git and Github Workshop for https://devahoy.com

hopenet_mlx icon hopenet_mlx

This is a code based on Ruiz's HopeNet, a head pose estimation work which is originally written as PyTorch. However, I try writing and modifying the code to run on Apple's MLX library.

jing-p icon jing-p

จริงพี่ พี่ว่าไงผมก็ว่างั้น

manoontype icon manoontype

Try & learn Manoonchai Layout, a Monkeytype fork

models icon models

Models and examples built with TensorFlow

retinaface-tf2 icon retinaface-tf2

RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

squid icon squid

SQUID: Secure & QUick IDentification

videopose3d icon videopose3d

Efficient 3D human pose estimation in video using 2D keypoint trajectories

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