- Japan - Tokyo
- http://myamens.com/
Stars
π "Marker-less Augmented Reality" with OpenCV and OpenGL.
Qt Node Editor. Dataflow programming framework
Developer SDK for Double 3 telepresence robot platform
A graph node engine and editor written in Javascript similar to PD or UDK Blueprints, comes with its own editor in HTML5 Canvas2D. The engine can run client side or server side using Node. It allowβ¦
The repo contains the source code for all the tutorials on the FilledStacks Youtube channel.
π¨ Marlin 2.0.x optimized for the Anycubic i3 Mega 3D printer
How to Setup Raspberry Pi VNC Screensharing on a Mac
sketch style = paints π¨ (TOG2018/SIGGRAPH2018ASIA)
python app to turn a photograph into a cartoon
A vJoy feeder for the Nintendo Switch JoyCons and Pro Controller
openEMSstim: open-hardware module to adjust the intensity of EMS/TENS stimulators.
A TensorFlow implementation of DeepMind's WaveNet paper
Companion code for the "Self Learning Quant" blog post
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
OpenFace β a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,β¦
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Sight Sign is an application bringing together Eye-Gaze, Inking and Robotics. π π π€=π
PedroLopes / affordance
Forked from jonepatr/affordanceThe code repository for the Affordance
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Recurrent Neural Network - A curated list of resources dedicated to RNN