cadebamo Goto Github PK

ai-principles

Alpha principles for the ethical use of AI and Data Driven Technologies in Ontario | Proposition de principes pour une utilisation éthique des technologies axées sur les données en Ontario

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

aws-machine-learning-university-accelerated-cv

Machine Learning University: Accelerated Computer Vision Class

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

cadebamo

Config files for my GitHub profile.

data-provenance-collection

deeplearning

Deep Learning From Scratch

dimorphicerv

identify proviral deletions resulting from LTR recombination events

fork-and-branch-practice

A practice space to demonstrate GitHub collaboration for our workshop Using GitHub.com to Manage Your Scholarly Work

gepsi

GEPSi simulates phenotypes for GWAS data based on a range of conditions and biological assumptions.

intersectional_inequalities

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

introtopython

Files associated with our book Intro to Python for Computer Science and Data Science

jupyter

Jupyter metapackage for installation, docs and chat

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

matplotlib

matplotlib: plotting with Python

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-university

Machine Learning Open Source University

project-based-learning

Curated list of project-based tutorials

project-walkthroughs

python-cheatsheet

Comprehensive Python Cheatsheet

python-dlpy

The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.

pythonbook

Python adaptation of Danielle Navarro's Learning Statistics with R (http://learningstatisticswithr.com/). Work in progress!

rbook

Source files for "Learning Statistics with R"

sealion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

terraform-workshop

test

username.github.io

Academic profile starter kit for our workshop Using GitHub.com to Manage your Scholarly Work

vcf2gwas

Python API for comprehensive GWAS analysis using GEMMA