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ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning libraries, including: bfloat16, 8-bit floating point representations, Microscaling (MX) sub-byte floating point representations, and Narrow integer encodings.
| Package | Summary | Distribution | Download |
| python3-ml-dtypes-0.5.4-1.fc45.aarch64.html | Implementation of several NumPy dtype extensions | Fedora Rawhide for aarch64 | python3-ml-dtypes-0.5.4-1.fc45.aarch64.rpm |
| python3-ml-dtypes-0.5.4-1.fc45.ppc64le.html | Implementation of several NumPy dtype extensions | Fedora Rawhide for ppc64le | python3-ml-dtypes-0.5.4-1.fc45.ppc64le.rpm |
| python3-ml-dtypes-0.5.4-1.fc45.s390x.html | Implementation of several NumPy dtype extensions | Fedora Rawhide for s390x | python3-ml-dtypes-0.5.4-1.fc45.s390x.rpm |
| python3-ml-dtypes-0.5.4-1.fc45.x86_64.html | Implementation of several NumPy dtype extensions | Fedora Rawhide for x86_64 | python3-ml-dtypes-0.5.4-1.fc45.x86_64.rpm |
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