Philip H. Le's repositories
AI_projects
Several interesting games are designed using Pygame and AI
aws-deepracer-workshops
DeepRacer workshop content
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
introtodeeplearning_labs
Lab Materials for MIT 6.S191: Introduction to Deep Learning
models
Models and examples built with TensorFlow
pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
quickdraw-dataset
Documentation on how to access and use the Quick, Draw! Dataset.
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.
shap
A game theoretic approach to explain the output of any machine learning model.
stanford_dl_ex
Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos