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Rewe Digital, University of Magdeburg, OvGU
- Berlin, Germany
- https://scholar.google.de/citations?user=roStdLMAAAAJ&hl=en
Stars
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Comparison of several Deep Reinforcement Learning frameworks.
A project to make Amazon Echo respond to sign language using your webcam
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Library for fast text representation and classification.
đź”® Predicts when a link is about to be clicked
Preload links about to be clicked with futurelink.
Open Source ML Model Versioning, Metadata, and Experiment Management
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Using Keras and Deep Q-Network to Play FlappyBird
The original code from the DeepMind article + my tweaks
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Original Python version of Intel® Nervana™ Graph
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
a fast, scalable, multi-language and extensible build system
CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.
Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
A flexible library for writing functional operations in Java
gaffer-tools is deprecated. Use https://github.com/gchq/gafferpy instead