Pinned Repositories
100days
100 days of algorithms
act-on-api-examples
Example code for interfacing with the Act-On API
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
appinventor-sources
MIT App Inventor Public Open Source
authomatic
Simple yet powerful authorization / authentication client library for Python web applications.
elegant-scipy
1st Edition of Elegant SciPy (O'Reilly Publishers)
salmcdonagh's Repositories
salmcdonagh/elegant-scipy
1st Edition of Elegant SciPy (O'Reilly Publishers)
salmcdonagh/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
salmcdonagh/AutonomousDrivingCookbook
Scenarios, tutorials and demos for Autonomous Driving
salmcdonagh/colabtools
Python libraries for Google Colaboratory
salmcdonagh/Data-Analysis
Data Analysis Using Python
salmcdonagh/Data-Engineering-HowTo
A list of useful resources to learn Data Engineering from scratch
salmcdonagh/data-mining
Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
salmcdonagh/databot
Databot was renamed to BotFlow https://github.com/kkyon/botflow
salmcdonagh/datascience
Curated list of Python resources for data science.
salmcdonagh/effective-pandas
Source code for my collection of articles on using pandas.
salmcdonagh/EOgmaDrive
Ogma - EOgmaDrive https://ogma.ai/
salmcdonagh/gganimate
A Grammar of Animated Graphics
salmcdonagh/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.
salmcdonagh/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
salmcdonagh/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
salmcdonagh/LearnMachineLearning
All the code from my course, available on youtube and udemy!
salmcdonagh/local_llm_crash_course
salmcdonagh/makeyourownneuralnetwork
Code for the Make Your Own Neural Network book
salmcdonagh/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
salmcdonagh/Network-Analysis-Made-Simple
For PyCon, PyData, ODSC, and beyond!
salmcdonagh/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
salmcdonagh/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
salmcdonagh/Practical_RL
A course in reinforcement learning in the wild
salmcdonagh/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
salmcdonagh/salmcdonagh.github.io
salmcdonagh/sfguide-data-engineering-with-snowpark-python
salmcdonagh/Statistical-Inference-for-Everyone
Introductory Statistical Inference
salmcdonagh/TF_ObjectDetection_API
Tutorial on how to create your own object detection dataset and train using TensorFlow's API
salmcdonagh/Transcrypt
Python 3.7 to JavaScript compiler - Lean, fast, open! -
salmcdonagh/ud120-projects
Starter project code for students taking Udacity ud120