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31 followers · 46 following
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Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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Skorkmaz88/README.md
  • 👋 Hi, I’m Semih Korkmaz, and I just learned I can use these wonderful 😲 icons 🙂 in Github.
  • 👀 I’m interested in a lot of stuff, so Github template won't be a good fit, but seriously I enjoy discovering about a spectrum of computer science problems. Especially any machinery that can act in interesting yet suprising ways 🎁
  • 🌱 I’m currently learning well it has been awhile i couldn't really put my mind to study but hope to be back to cover my gaps.
  • 💞️ I’m looking to discover and sometimes just discuss and brainstorm different ideas and projects.
  • 📫 How to reach me , message me in twitter 🐦 or feel free to email me

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  1. shadow-robot/smart_grasping_sandbox shadow-robot/smart_grasping_sandbox Public

    A public sandbox for Shadow's Smart Grasping System

    Jupyter Notebook 84 29

  2. tfjs tfjs Public

    Purely for browser, standalone tensorflow.js examples I intend to use for another project

    JavaScript

  3. openai/multiagent-particle-envs openai/multiagent-particle-envs Public

    Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

    Python 2.4k 790

  4. dydra/http-api-tests dydra/http-api-tests Public

    Tests for the DYDRA RDF cloud service, which include coverage for the Sesame HTTP communication protocol, the SPARQL graph store HTTP protocol, and DYDRA account administration and service extensions

    Shell 6 2

  5. keras-rl keras-rl Public

    Forked from keras-rl/keras-rl

    Adding ipython notebooks and examples to Deep Reinforcement Learning for Keras.

    Jupyter Notebook

  6. NicolasHug/Surprise NicolasHug/Surprise Public

    A Python scikit for building and analyzing recommender systems

    Python 6.4k 1k