mattburnham Goto Github PK

freecodecamp_spacy

geopy-notebooks

The notebooks to accompany Python for Geospatial Data Analysis

geospatial-ml

A Python package for installing commonly used packages for geospatial analysis and machine learning with only one command.

google-drive-ocamlfuse

FUSE filesystem over Google Drive

graph-data-science

Source code for the Neo4j Graph Data Science library of graph algorithms.

graph-data-science-with-neo4j

B19190 - Graph Data Science with Neo4J

high-density-scatter

@mihael-dev

introduction-programming-python

All of the slides, answer files and other solutions used during the Introduction to Programming

jupyter-ai

A generative AI extension for JupyterLab

karan_projects

:page_with_curl: A list of practical projects that anyone can solve in any programming language.

kubernetes-course

Kubernetes Course Files

list-of-python-api-wrappers

List of Python API Wrappers and Libraries

ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

machine-learning-algorithms

Machine Learning Algorithms, published by Packt

machine-learning-articles

List of interesting articles on different topics of machine learning and deep learning

machine-learning-engineering-with-python-second-edition

machine-learning-pipeline

Example machine learning pipeline with MLflow and Hydra

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

machine_learning_foundations_coursera_course

mastering-machine-learning-algorithms

Mastering Machine Learning Algorithms, published by Packt

mastering-spacy

Mastering spaCy, published by Packt

materials

Bonus materials, exercises, and example projects for our Python tutorials

mbli_powerbi_r_python

Machine Learning en Power BI con R y Python

microactors-causality

Examples of causality maps for time series driven by GitHub actions

microblog

Blog notebooks

mlops-basics

ml_things

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

models

Models and examples built with TensorFlow

mslearn-aml-cli

Lab files for Learn modules on using the Azure Machine Learning CLI (v2)