Clement Adebamowo's 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.
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.
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
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.
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