Pinned Repositories
aistart2021
aistart2022
AI Jump-start 2022
d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions, based on the NumPy interface.
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
PyMLSlides
Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
peterleong's Repositories
peterleong/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
peterleong/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
peterleong/ml_pocket_reference
Resources for Machine Learning Pocket Reference
peterleong/mldds-courseware
Slides and workshop content for the Machine Learning-driven Data Science Courses
peterleong/mlwpy_code
Code from the Pearson Addison-Wesley book Machine Learning with Python for Everyone
peterleong/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
peterleong/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
peterleong/sklearn_tutorial
Materials for my scikit-learn tutorial
peterleong/aistart
Introduction to AI & Machine Learning
peterleong/beginning-anomaly-detection-using-python-based-dl
Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari
peterleong/BookRepo
peterleong/building-ml-and-dl-models-on-gcp
Source code for 'Building Machine Learning and Deep Learning Models on Google Cloud Platform'
peterleong/ca2pds
peterleong/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
peterleong/deep_learning_and_the_game_of_go
Code and other material for the book "Deep Learning and the Game of Go"
peterleong/DeepLearningLifeSciences
Example code from the book "Deep Learning for the Life Sciences"
peterleong/deeplift
Public facing deeplift repo
peterleong/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
peterleong/hands-on-scikit-learn-for-mach-learning-apps
Source code for 'Hands-on Scikit-Learn for Machine Learning Applications' by David Paper
peterleong/jupyterhub-winauthenticator
peterleong/lime
Lime: Explaining the predictions of any machine learning classifier
peterleong/machine-learning-using-r
Source code for 'Machine Learning Using R' by Karthik Ramasubramanian and Abhishek Singh
peterleong/mastering-ml-w-python-in-six-steps-2e
Source Code for 'Mastering Machine Learning with Python in Six Steps, 2nd Edition' by Manohar Swamynathan
peterleong/ml-agents
Unity Machine Learning Agents Toolkit
peterleong/mlcourse.ai
Open Machine Learning Course
peterleong/pdshare
pdshare
peterleong/playground
Play with neural networks!
peterleong/Practical-Time-Series-Analysis-by-Aileen-Nielsen
Contains datasets, chapter wise exercises
peterleong/pyspark-recipes
Source code for 'PySpark Recipes' by Raju Kumar Mishra
peterleong/TimeSeriesAnalysisWithPython