afcarl Goto Github PK
Name: Andrew Carl
Type: User
Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html
Location: Las Vegas, Nevada, USA
Blog: https://afcarl.github.io
Andrew Carl's Projects
capsnet-navneet-nmk
capsnet-tf
A partial implementation of the Capsule Network form Dynamic Routing Between Capsules
capsnet.mxnet
MXNet implementation of CapsNet
capsule-network-tutorial
Pytorch easy-to-follow Capsule Network tutorial
capsule-networks
A Tensorflow(v1.4) implementation of Capsule Networks (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)
caption_generator
A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
captiongen
Generate captions for an image using PyTorch
captioning_chainer
A fast implementation of Neural Image Caption by Chainer
capture-webscreens
Capture full web page screens with selenium in python
car-behavioral-cloning
Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras
caravan
Let your blog visitors run code and get their answers checked using Dataquest.
carbon-bot
carbon-footprint-multi-agent-reinforcement-learning
Reducing Global Carbon Footprint based on Multi-Agent Reinforcement Learning - School of AI Fellowship Research
caretensemble
caret models all the way down :turtle:
carl
Likelihood-free inference toolbox.
carl-notebooks
carla
Open-source simulator for autonomous driving research.
carmatutorial
carnd
carnd-advanced-lane-lines
carnd-advanced-lane-lines-yu-iskw
carnd-alexnet-feature-extraction
This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.
carnd-behavioral-cloning
Behavioral cloning project using car driving simulator
carnd-behavioral-cloning-p3
carnd-behavioral-cloning-p3-takeitallsource
Starting files for the CarND behavioral cloning project (P3)
carnd-behavioral-cloning-p3-yu-iskw
Starting files for the Udacity CarND Behavioral Cloning Project
carnd-behavioral-cloning-project
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.
carnd-camera-calibration
Images and notebook for camera calibration
carnd-camera-calibration-yu-iskw
Images and notebook for camera calibration
carnd-capstone
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