- hypertorch - ⭐ 126 🍴 17 - Riccardo Grazzi
- MorphoSymm - ⭐ 108 🍴 5 - Daniel Ordonez
- franken - ⭐ 30 🍴 6 - CSML
- hyper-representation - ⭐ 29 🍴 9 - Riccardo Grazzi
- RED - ⭐ 29 🍴 7 - Ruohan Wang
- linear_operator_learning - ⭐ 14 - CSML
- magan - ⭐ 10 🍴 4 - Ruohan Wang
- NCP - ⭐ 7 🍴 2 - CSML
- powr - ⭐ 7 🍴 4 - CSML
- Tasml - ⭐ 6 🍴 1 - Ruohan Wang
- RMOT - ⭐ 3 - CSML
- onlineLTL - ⭐ 3 🍴 1 - Riccardo Grazzi
- encoderops - ⭐ 3 - Pietro Novelli
- bioptexps - ⭐ 2 - CSML
- GMFbandits - ⭐ 2 - CSML
- DPNets - ⭐ 2 🍴 1 - Pietro Novelli
- operator_learning - ⭐ 2 - Pietro Novelli
- tklearn - ⭐ 1 - Vladimir Kostic
- LaRRR - Vladimir Kostic
- RMOT - Vladimir Kostic
- DelayDependentPayoffs - Leonardo Cella
- featureLearningBan - Leonardo Cella
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CSML @ IIT
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linear_operator_learning PublicA package to Learn Linear Operators
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A Python package to characterize metastable states with the help of machine learning
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