Pinned Repositories
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
cadebamo's Repositories
cadebamo/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
cadebamo/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
cadebamo/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
cadebamo/aws-machine-learning-university-accelerated-cv
Machine Learning University: Accelerated Computer Vision Class
cadebamo/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
cadebamo/cadebamo
Config files for my GitHub profile.
cadebamo/Data-Provenance-Collection
cadebamo/DeepLearning
Deep Learning From Scratch
cadebamo/dimorphicERV
identify proviral deletions resulting from LTR recombination events
cadebamo/fork-and-branch-practice
A practice space to demonstrate GitHub collaboration for our workshop Using GitHub.com to Manage Your Scholarly Work
cadebamo/GEPSi
GEPSi simulates phenotypes for GWAS data based on a range of conditions and biological assumptions.
cadebamo/intersectional_inequalities
cadebamo/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
cadebamo/IntroToPython
Files associated with our book Intro to Python for Computer Science and Data Science
cadebamo/jupyter
Jupyter metapackage for installation, docs and chat
cadebamo/labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
cadebamo/matplotlib
matplotlib: plotting with Python
cadebamo/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.
cadebamo/ML-University
Machine Learning Open Source University
cadebamo/project-based-learning
Curated list of project-based tutorials
cadebamo/project-walkthroughs
cadebamo/python-cheatsheet
Comprehensive Python Cheatsheet
cadebamo/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.
cadebamo/pythonbook
Python adaptation of Danielle Navarro's Learning Statistics with R (http://learningstatisticswithr.com/). Work in progress!
cadebamo/rbook
Source files for "Learning Statistics with R"
cadebamo/SeaLion
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
cadebamo/terraform-workshop
cadebamo/test
cadebamo/username.github.io
Academic profile starter kit for our workshop Using GitHub.com to Manage your Scholarly Work
cadebamo/vcf2gwas
Python API for comprehensive GWAS analysis using GEMMA