A Hearthstone Card visualizer in 3D with the help of Tensorboard using PCA or t-SNE
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Updated
Apr 20, 2017 - HTML
A Hearthstone Card visualizer in 3D with the help of Tensorboard using PCA or t-SNE
🚣 A simple recommendation engine (by way of convolutions and embeddings) written in TensorFlow
📽 justin's embedding projector datasets
AI use cases from the Center of Artificial Intelligence and Robotics at FHWS.
Apprentissage profond @ école polytechnique 2020
Unity project. Main goal is to teach the agent to get a key than find the right chest that contains the treasure.
Wesendrup, Kevin; Hellingrath, Bernd (2023): ML2-enabled Condition-based Demand, Production, Inventory, and Maintenance Planning. In : IFAC World Congress 2023. IFAC World Congress 2023, pp. 7182–7187.
Mixing, matching, and comparing Bayesian models, quantile regression, and multi-task learning
Tired of old-school boring default tensorflow/keras model architecture plots? Give this code a try! Nice, fresh, super-cool, colorful plots for your keras models (works with any wrapper also!).
Source code/webpage/demos for the What-If Tool
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