hasheng Goto Github PK

aipnd

Code and associated files for the AI Programming with Python Nanodegree Program

aipnd-revision

Revision to the code and associated files for the AI Programming with Python Nanodegree Program

aipnd_v2

Version 2

animations-with-matplotlib

Using the matplotlib library to create some interesting animations.

automated-data-preprocessing

A command-line utility program for automating the trivial, frequently occurring data preparation tasks: missing value interpolation, outlier removal, and encoding categorical variables.

bash_tutorial

chatdev

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

course-collaboration-travel-plans

deep-learning-v2-pytorch

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

demo_website

examples

TensorFlow examples

exploringdatawithpython

Methods of data exploration and visualization using Python.

hasheng.github.io

isolationforest

testing scikit-learn Isolation Forest

jeffrey-yau-pearson-tsa-training-beginner

lighthouse-data-notes

lighthouse-python-fundamentals

machine-learning-with-h2o-in-python

mini_project_1_tfl

London Transport Optimization

mini_project_lh_2

model_loan_pickle

nyc_clustering

Midterm Project - NYC Clustering Neighborhoods

patchwork

All the Git-it Workshop completers!

practical-deep-learning-with-pytorch

Live Training by Packt, with Jeffrey Yau.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pydata-pandas-workshop

Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request

python_algorithms

All Algorithms implemented in Python

pytimetk

The time series toolkit for python.

real_time_dashboard

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.