dillsunnyb11 (JaturongKongmanee)

JaturongKongmanee

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dillsunnyb11's repositories

awesome-mac

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

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cache-or-not-to-cache

A simple tool to simulate a Scalable Low-Latency Cache Invalidation Strategy for mobile environments.

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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.

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Awesome-Profile-README-templates

A collection of awesome readme templates to display on your profile

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cayman

Cayman is a Jekyll theme for GitHub Pages

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coegan

Code used in the experiments of the paper COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks http://gecco-2019.sigevo.org

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dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

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deeplearning-models

A collection of various deep learning architectures, models, and tips

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emoji-cheat-sheet

A markdown version emoji cheat sheet

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heart-beating

A simple tool to simulate a simple inter-process communication protocol.

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nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

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numpy-100

100 numpy exercises (with solutions)

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Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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pipreqs

pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

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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.

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semisup-adv

Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf

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VIME

Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020

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