Scientific Computing (SC) and Simulation of Large Systems (SGS) @ University of Stuttgart
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hardware_sampling
hardware_sampling PublicThe Hardware Sampling (hws) library can be used to track hardware performance like clock frequency, memory usage, temperatures, or power draw.
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Distributed_GPU_LSH_using_SYCL
Distributed_GPU_LSH_using_SYCL PublicDistributed k-nearest Neighbors using Locality Sensitive Hashing and SYCL
Repositories
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A single-file Python CLI that converts hws (Hardware Sampling library) YAML output into a self-contained interactive HTML report.
- hardware_sampling Public
The Hardware Sampling (hws) library can be used to track hardware performance like clock frequency, memory usage, temperatures, or power draw.
- Distributed_GPU_LSH_using_SYCL Public
Distributed k-nearest Neighbors using Locality Sensitive Hashing and SYCL
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Project to improve BG prediction quality in medical applications using Deep Reinforcement Learning and Neural Architecture Search
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