• Expertise: Industrial ML DevOps with Python, PyTorch, Kubernetes, Helm 💻
• Personal Blog 🖋️
• Google Scholar 👨‍🎓

• Applied Deep Learning / RL 🦾
• Gibsonian (affordances) and Heideggerian (Being) ideas in AI 🤔

• Deep RL Library:SLM Lab 🔬
• Book:Foundations of Deep Reinforcement Learning (Amazon link) 📖

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1. SLM-LabSLM-LabPublic

   Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

   Python 1.3k 273

2. openai_labopenai_labPublic

   An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

   Python 326 68

3. awesome-deep-rlawesome-deep-rlPublic

   A curated list of awesome Deep Reinforcement Learning resources.

   735 73

4. torcharctorcharcPublic

   TorchArc: Build PyTorch models by specifying architectures.

   Python 5

5. aivaaivaPublic

   AIVA (A.I. Virtual Assistant): General-purpose virtual assistant for developers.

   JavaScript 835 598

6. k0s-clusterk0s-clusterPublic

   Private Kubernetes cluster setup on a home lab using k0sctl and Helm charts.

   Shell 2 1