vega-datasets · PyPI
pypi.org › project › vega-datasetsNov 26, 2020 · vega_datasets is compatible with Python 3.5 or newer. Install with: $ pip install vega_datasets Usage. The main object in this library is data: >>> from vega_datasets import data. It contains attributes that access all available datasets, locally if available. For example, here is the well-known iris dataset:
datasets · PyPI
pypi.org › project › datasetsDec 21, 2021 · With pip. 🤗 Datasets can be installed from PyPi and has to be installed in a virtual environment (venv or conda for instance) pip install datasets With conda. 🤗 Datasets can be installed using conda as follows: conda install -c huggingface -c conda-forge datasets Follow the installation pages of TensorFlow and PyTorch to see how to install them with conda.
dataset - PyPI
https://pypi.org/project/dataset16.12.2021 · dataset: databases for lazy people. In short, dataset makes reading and writing data in databases as simple as reading and writing JSON files. Read the docs. To install dataset, fetch it with pip: $ pip install dataset Note: as of version 1.0, dataset is split into two packages, with the data export features now extracted into a stand-alone package, datafreeze.
TensorFlow Datasets
https://www.tensorflow.org/datasets/overview15.12.2021 · Installation. TFDS exists in two packages: pip install tensorflow-datasets: The stable version, released every few months. pip install tfds-nightly: Released every day, contains the last versions of the datasets. This colab uses tfds-nightly: pip install -q tfds-nightly tensorflow matplotlib. import matplotlib.pyplot as plt.
dataset · PyPI
pypi.org › project › datasetDec 16, 2021 · To install dataset, fetch it with pip: $ pip install dataset. Note: as of version 1.0, dataset is split into two packages, with the data export features now extracted into a stand-alone package, datafreeze . See the relevant repository here. Project details.
TensorFlow Datasets
www.tensorflow.org › datasets › overviewDec 15, 2021 · pip install tensorflow-datasets: The stable version, released every few months. pip install tfds-nightly: Released every day, contains the last versions of the datasets. This colab uses tfds-nightly: pip install -q tfds-nightly tensorflow matplotlib. import matplotlib.pyplot as plt.