JaturongKongmanee
Software & machine learning engineer. Love algorithms and data structures. Love building software, MotoGP, and Adventure.
Pinned Repositories
awesome-mac
Now we have become very big, Different from the original idea. Collect premium software in various categories.
Awesome-Profile-README-templates
A collection of awesome readme templates to display on your profile
brain-tokyo-workshop
🧠🗼
cache-or-not-to-cache
A simple tool to simulate a Scalable Low-Latency Cache Invalidation Strategy for mobile environments.
cayman
Cayman is a Jekyll theme for GitHub Pages
coegan
Code used in the experiments of the paper COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks http://gecco-2019.sigevo.org
dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
deeplearning-models
A collection of various deep learning architectures, models, and tips
deeplearningandaiwinterschool.github.io
SMT-solver
Satisfiability Modulo Theories (SMT) problem is a decision problem for logical first order formulas with respect to combinations of background theories such as: arithmetic, bit-vectors, arrays, and uninterpreted functions. In this repository, I will learn Z3, an efficient SMT Solver from Microsoft Research, to apply it in software verification and analysis applications.
JaturongKongmanee's Repositories
JaturongKongmanee/awesome-mac
Now we have become very big, Different from the original idea. Collect premium software in various categories.
JaturongKongmanee/cache-or-not-to-cache
A simple tool to simulate a Scalable Low-Latency Cache Invalidation Strategy for mobile environments.
JaturongKongmanee/SMT-solver
Satisfiability Modulo Theories (SMT) problem is a decision problem for logical first order formulas with respect to combinations of background theories such as: arithmetic, bit-vectors, arrays, and uninterpreted functions. In this repository, I will learn Z3, an efficient SMT Solver from Microsoft Research, to apply it in software verification and analysis applications.
JaturongKongmanee/Awesome-Profile-README-templates
A collection of awesome readme templates to display on your profile
JaturongKongmanee/brain-tokyo-workshop
🧠🗼
JaturongKongmanee/cayman
Cayman is a Jekyll theme for GitHub Pages
JaturongKongmanee/coegan
Code used in the experiments of the paper COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks http://gecco-2019.sigevo.org
JaturongKongmanee/dagmm
My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
JaturongKongmanee/deeplearning-models
A collection of various deep learning architectures, models, and tips
JaturongKongmanee/deeplearningandaiwinterschool.github.io
JaturongKongmanee/emoji-cheat-sheet
A markdown version emoji cheat sheet
JaturongKongmanee/heart-beating
A simple tool to simulate a simple inter-process communication protocol.
JaturongKongmanee/JaturongKongmanee
JaturongKongmanee/nsga-net
NSGA-Net, a Neural Architecture Search Algorithm
JaturongKongmanee/numpy-100
100 numpy exercises (with solutions)
JaturongKongmanee/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
JaturongKongmanee/PCK-Q
JaturongKongmanee/pipreqs
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
JaturongKongmanee/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
JaturongKongmanee/semisup-adv
Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
JaturongKongmanee/VIME
Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
JaturongKongmanee/website