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43 Open 31 Closed
43 Open 31 Closed
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Issues list

sklearn was deprecated how do I run the module
#87 opened Aug 9, 2024 by rakshithcgowda
pip installation guide needs to be updated
#85 opened Mar 18, 2024 by filip-frisk
2
scikit-learn in pip requirement file
#82 opened Sep 20, 2023 by QueenMABhydro
Can't build locally or through pip on Mac Ventura
#81 opened Jun 13, 2023 by pedvoca
Solution file column definitions
#80 opened Jun 4, 2023 by yy1920
AI Feynman Accuracy
#79 opened Jun 4, 2023 by yy1920
Units and Jupyter NB Issues
#78 opened Jan 17, 2023 by tcaligiure
1
WINDOWS AVAILABLE NOW?
#76 opened Nov 11, 2022 by seanren666
1
Error: 'int' object has no attribute 'cpu'
#74 opened Oct 24, 2022 by yecyn
1
Ubuntu recommendation
#68 opened Jun 2, 2022 by marcoshaw
3
Navigating Brute Force Results
#65 opened May 27, 2022 by EChenevert
Can we add support for 'mps'
#64 opened May 27, 2022 by dbl001
OSError: results_gen_sym.dat not found.
#63 opened May 20, 2022 by mbennun
3
Example 1
#62 opened Feb 1, 2022 by agrundner24
Multithreading and Cuda
#61 opened Jan 6, 2022 by ParticleTruthSeeker
1
sklearn-style interface?
#60 opened Jan 4, 2022 by asross
OSError: results_comp.dat not found.
#59 opened Jan 4, 2022 by longyangking
1
pip install aifeynman fails on M1
#58 opened Dec 30, 2021 by NAThompson
6
TypeError: can't convert cuda:0 device type tensor to numpy.
#57 opened Nov 22, 2021 by vnikoofard
7
LinAlgError: Array must not contain infs or NaNs
#56 opened Nov 15, 2021 by leebox
1
Type error in compositionality
#55 opened Oct 8, 2021 by prata-uece
Option to force the algorithm to keep computing until all input symbols are used.
#52 opened Sep 23, 2021 by sirisian
Would it be hard to support ranges of result values (a min and max value) and/or integer results?
#51 opened Sep 23, 2021 by sirisian
TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
#50 opened Sep 22, 2021 by sirisian
5
self-defined operations
#48 opened Aug 15, 2021 by yiran-git
ProTip! Follow long discussions with comments:>50.