numpy

A set of python modules for machine learning and data mining

TensorFlow is an open source machine learning framework for everyone.

Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Multi-backend Keras

Read and write HDF5 files from Python

ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning.

Core utilities for Python packages

Abseil Python Common Libraries, see https://github.com/abseil/abseil-py.

Read and write HDF5 files from Python

Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal

Extremely lightweight compatibility layer between dataframe libraries

threadpoolctl

Lightweight pipelining with Python functions

An AST unparser for Python

The FlatBuffers serialization format for Python

Python AST that abstracts the underlying Python version

Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier.

Fast, Extensible Progress Meter