Patrick (patrickphat)

patrickphat

Geek Repo

Company:@Holistics

Location:Ho Chi Minh City, Vietnam

Home Page:https://www.linkedin.com/in/tphat/

Twitter:@patrickphatng

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Patrick's repositories

Tensorflow-2-cheatsheet

A minimal doc on Tensorflow 2.0 that is just enough to make you dangerous.

Knowledge-Distillation-Keras

An easy approach on how to implement Knowledge Distillation on Keras

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dab

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

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stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

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Blight-Violation-Control-Prediction

Simple data analysis & machine learning project done by me during studying on a Coursera's course. This is a part of the course.

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Boston-Housing-Price

Boston-Housing-Price dataset for predicting housing price

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CIFAR10-Image-Recognition

Experiments with different machine learning architectures for CIFAR10 Image Recognition

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clinic-data-analysis

Clinic-data-analysis

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Coursera

These are my learning exercices from Coursera

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cs231n.github.io

Public facing notes page

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DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

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docs

TensorFlow documentation

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first-machine-learning-implementation-linear-regression

My first approach to Machine Learning with Linear Regression Algorithm (One variable)

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Folio-Leaves-Image-Clustering

Some exposures to some clustering Algorithm and feature extractions

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git-practice

For practicing git only

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kaggle-pet-finder-adoption-prediction

My first approach to a competition on Kaggle

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Learn_Data_Science_in_3_Months

This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube

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Learn_Deep_Learning_in_6_Weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

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stanford-cs229

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

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t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

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vietnam-china-gdp-matplotlib-visualisation

A small project to learn about Vietnam and China trend in terms of GDP growth

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