philip-le

AI_projects

Several interesting games are designed using Pygame and AI

AIHCND_C2_Starter

aws-deepracer-workshops

DeepRacer workshop content

CarND-Advanced-Lane-Lines

CarND-LaneLines-P1

Lane Finding Project for Self-Driving Car ND

data_linter

Docker image used to automatically validate data

deep-learning-v2-pytorch

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

Project_capstones

Submission for the IBM Advanced Data Science specialization

sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

SGN_app

Tool for filtering Some Good News (SGN)

philip-le/SGN_app

Tool for filtering Some Good News (SGN)

philip-le/AI_projects

Several interesting games are designed using Pygame and AI

philip-le/AIHCND_C2_Starter

philip-le/aws-deepracer-workshops

DeepRacer workshop content

philip-le/CarND-Advanced-Lane-Lines

philip-le/CarND-LaneLines-P1

Lane Finding Project for Self-Driving Car ND

philip-le/data_linter

Docker image used to automatically validate data

philip-le/deep-learning-v2-pytorch

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

philip-le/Project_capstones

Submission for the IBM Advanced Data Science specialization

philip-le/sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

philip-le/introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

philip-le/models

Models and examples built with TensorFlow

philip-le/pandas-profiling

Create HTML profiling reports from pandas DataFrame objects

philip-le/philip-le.github.io

philip-le/quickdraw-dataset

Documentation on how to access and use the Quick, Draw! Dataset.

philip-le/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

philip-le/shap

A game theoretic approach to explain the output of any machine learning model.

philip-le/stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

philip-le/TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos