Pongsasit

A.I_minimax

Minimax in Tic Tac Toe writing in C

AnomalyDetectionUsingAutoencoder

Anomaly detection using Autoencoder implemented with Keras 2.

BBox-Label-Tool

A simple tool for labeling object bounding boxes in images

Capstone-GraduateAdmission

The HavardX Capstone Project 2 : Graduate Admission (choosed by myself)

Capstone-Movielens

Capstone Project 1: Movielens the movies recommender

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Deep-Learning-with-Python-by-Chollet

These code are from the Deep Learning with Python book that I am using to study deep learning

deepAI

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Segmentation-Fault

for hackathon purpose

Pongsasit/Segmentation-Fault

for hackathon purpose

Pongsasit/A.I_minimax

Minimax in Tic Tac Toe writing in C

Pongsasit/AnomalyDetectionUsingAutoencoder

Anomaly detection using Autoencoder implemented with Keras 2.

Pongsasit/BBox-Label-Tool

A simple tool for labeling object bounding boxes in images

Pongsasit/Capstone-GraduateAdmission

The HavardX Capstone Project 2 : Graduate Admission (choosed by myself)

Pongsasit/Capstone-Movielens

Capstone Project 1: Movielens the movies recommender

Pongsasit/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Pongsasit/Deep-Learning-with-Python-by-Chollet

These code are from the Deep Learning with Python book that I am using to study deep learning

Pongsasit/deepAI

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Pongsasit/deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

Pongsasit/FLOWER-CLASSIFIER-WEBAPP

This is a repository built during Pytorch Facebook course on Udacity Phase - I

Pongsasit/GANs

all GANs works

Pongsasit/HavardX_data_sciece

6 courses for professional certificate code in R . From basic to R for data science level.

Pongsasit/ibm_srisawad_ingram_incubation

Pongsasit/Kaggle-titanic-

Titanic dataset - > Could you survive or not?

Pongsasit/mlnd-finalproject-

Final project of Machine Learning Nano Degree.

Pongsasit/predictive-maintenance-rag

Pongsasit/PUB6075_Project1_goPhish

Assignment1 Go phish source code

Pongsasit/Pytorch_pongsasit

Pytorch_deeplearning

Pongsasit/sqlfordatascience

Coursera_sql_for_data_science.

Pongsasit/streamlit-modnajra

Pongsasit/study-golang

study golang

Pongsasit/Tensorflow_and_Computer_vision

I practiced these knowledge via edX; tensorflow and computer vision courses

Pongsasit/Udacity-drlnd-P1-Navigation

Udacity Deep Reinforcement Learning Nano Degree: First Project

Pongsasit/Udacity-drlnd-P2-Continuous-Control

Pongsasit/Udacity-drlnd-P3-Collab-Compete

Udacity tennis project

Pongsasit/udacity-machine-learning-engineer-Project1

This is the assignment of machine learning engineer Nanodegree.

Pongsasit/udacity-machine-learning-engineer-project2

This project is part of Udacity machine learning nanodegree course.

Pongsasit/vae-torch

Variational autoencoder for anomaly detection (in PyTorch).

Pongsasit/yo-wassup

yo