Topic: "ml-for-systems"
mit-han-lab/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
Language: Jupyter Notebook - Size: 97.6 MB - Last synced at: 21 days ago - Pushed at: 2 months ago - Stars: 1,440 - Forks: 217
neurocard/neurocard
State-of-the-art neural cardinality estimators for join queries
Language: Python - Size: 52.2 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 51 - Forks: 18
microsoft/Peregrine 📦
Peregrine is a workload optimization platform for cloud query engines. The goal of Peregrine is three-fold: 1. make it easier to ingest and analyze query workload telemetry into a common engine-agnostic representation, 2. help developers to quickly build workload optimization applications to reduce overall costs and improve operational efficiency, and 3. providing better experience to the customers in the form of workload insights, actionable recommendations, and self-tuning capabilities.
Language: Python - Size: 14.5 MB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 1
