- Machine Learning: Physics-driven models, neural networks, and advanced frameworks.
- Experiment Tracking: Proficiency in TensorBoard and Weights & Biases (W&B).
- Ab Initio Calculations: Computational physics and materials modeling.
- Quantum Computing: Proficiency in Qiskit and quantum algorithms.
- Web Development: Basic experience with HTML, CSS, JavaScript, and setting up GitHub Pages.
Research Assistant, AI - Deep Learning, Physicist ⚛️, Mathematician
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IDEAS NCBR
- Warsaw
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00:17
(UTC +01:00) - https://orcid.org/0009-0009-5293-8731
- in/jmeixner
- https://wandb.ai/jakub-meixner
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taichi
taichi PublicForked from taichi-dev/taichi
Productive, portable, and performant GPU programming in Python.
C++
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AaltoML/generative-inverse-heat-dissipation
AaltoML/generative-inverse-heat-dissipation PublicCode release for the paper Generative Modeling With Inverse Heat Dissipation
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