JulienL3vesque
Passionate by technologies by day/ Learn-alcoholic and MOOC-collector by night
Montreal
Pinned Repositories
amazon-sagemaker-aws-greengrass-custom-object-detection-model
End to end code samples for training an object detection model in Amazon SageMaker using the built-in SSD algorithm and running it on AWS IoT Greengrass.
airflow-data-quality-demo
A repository of sample code to show data quality checking best practices using Airflow.
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
ATMega32_Robot
AWS_ML_At_Edge_With_NVIDIA_Jetson_Nano
data-wrangling
DevOps_Microservices
Supporting material and projects for a course on Cloud DevOps: Microservices.
FSND
Public repository for the Full-Stack Nanodegree program.
Hexoskin_RnD_OSM
ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
JulienL3vesque's Repositories
JulienL3vesque/FSND
Public repository for the Full-Stack Nanodegree program.
JulienL3vesque/Hexoskin_RnD_OSM
JulienL3vesque/airflow-data-quality-demo
A repository of sample code to show data quality checking best practices using Airflow.
JulienL3vesque/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
JulienL3vesque/ATMega32_Robot
JulienL3vesque/AWS_ML_At_Edge_With_NVIDIA_Jetson_Nano
JulienL3vesque/data-wrangling
JulienL3vesque/DevOps_Microservices
Supporting material and projects for a course on Cloud DevOps: Microservices.
JulienL3vesque/ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
JulienL3vesque/effectivepython
Effective Python: Second Edition — Source Code and Errata for the Book
JulienL3vesque/fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
JulienL3vesque/first-contributions
🚀✨ Help beginners to contribute to open source projects
JulienL3vesque/IntroToProgramming_Udacity
JulienL3vesque/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
JulienL3vesque/lighthouse
Automated auditing, performance metrics, and best practices for the web.
JulienL3vesque/Mining-the-Social-Web-3rd-Edition
The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)
JulienL3vesque/ml_pocket_reference
Resources for Machine Learning Pocket Reference
JulienL3vesque/my-travel-plans
JulienL3vesque/ProjectAVA-HackTheNorth
AVA, also known as Augmented Virtual Assistant, is a portable companion utilizing the Pepper's Ghost Illusion concept from more than a hundred years ago.
JulienL3vesque/python-patterns
A collection of design patterns/idioms in Python
JulienL3vesque/Stratos_FlightRecorder_V1
Stratospheric Data Recorder for Canadian Space Agency STRATOS Program
JulienL3vesque/ud777-writing-readmes
Supplemental material for Udacity's "Writing READMEs" course