Jean Dagenais's repositories
core
:house_with_garden: Open source home automation that puts local control and privacy first.
TestMergeRebase
TestMergeRebase
python-package-template
A template repo for Python packages
practicalAI
A practical approach to learning machine learning.
jeandagenais.github.io
Build a Jekyll blog in minutes, without touching the command line.
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
cozmo-tools
Tools for programming Anki's Cozmo robot.
cozmo-python-sdk
Anki Cozmo Python SDK
linux
Kernel source tree for Raspberry Pi Foundation-provided kernel builds. Issues unrelated to the linux kernel should be posted on the community forum at https://www.raspberrypi.org/forum
donkey
self driving car
sdsandbox
This provides a sandbox simulator for training a self-driving car. This uses Unity for simulation and Python with Keras and Tensorflow for training. Recently updated to work on Python 3.4+ and Keras 2+
cozmo-tensorflow
Cozmo the Robot does things with TensorFlow
cozmopedia
Information about the Cozmo robot from Anki.
End-to-End-Learning-for-Self-Driving-Cars
An implementation of End to End Learning for Self-Driving Cars https://arxiv.org/abs/1604.07316 and visualize the cnn model https://arxiv.org/abs/1611.05418
Cozmo-Explorer-Tool
Tool for monitoring events, watching the camera feed and test animations of Anki's robot Cozmo
notebooks
My computational narrative notebooks.
tensorflow
Computation using data flow graphs for scalable machine learning
keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
ipython-notebooks
A collection of IPython notebooks covering various topics.
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
kaggle
Repository for code used in Kaggle competitions.
Python-Examples
Python Examples
end-to-end-deep-learning
Autonomous driving in the Unity engine.
Coursera-ML-AndrewNg
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
deeptesla
End-to-End Learning from Tesla Autopilot Driving Data
deep-learning-nano-foundation
Udacity's Deep Learning Nano Foundation program.
Nvidia-SelfDriving
Keras implementation of End to End Learning for Self-Driving Cars by Nvidia.
BehavioralCloning-for-Self-Driving-Keras
Keras/Tensorflow Implementation of `End-to-End Learning for self-driving car (Nvidia)`. Spatial factorization is additionally implemented to reduce network size.