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  2. pip (package manager) - Wikipedia

    en.wikipedia.org/wiki/Pip_(package_manager)

    An output of pip install virtualenv. Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name. pip has a feature to manage full lists of packages and corresponding version numbers ...

  3. Contrastive Language-Image Pre-training - Wikipedia

    en.wikipedia.org/wiki/Contrastive_Language-Image...

    Parameters (total, in millions) Parameters (vision) Parameters (text) Embedding dimension Size (MB) Release date RN50 224 102 38.3 63.1 1024 244 2021-01 RN101 224 120 56.3 63.1 512 278 2021-03 RN50x4 288 178 87.1 90.7 640 402 2021-03 RN50x16 384 291 167.3 123.0 768 630 2021-07 RN50x64 448 623 420.4 201.8 1024 1260 2022-01 ViT-B/32 224 151 87.8

  4. Gekko (optimization software) - Wikipedia

    en.wikipedia.org/wiki/Gekko_(optimization_software)

    GEKKO is available in Python and installed with pip from PyPI of the Python Software Foundation. pip install gekko GEKKO works on all platforms and with Python 2.7 and 3+.

  5. Module:Params - Wikipedia

    en.wikipedia.org/wiki/Module:Params

    The {{#invoke: params}} module is designed to be adopted by those templates that want to have a deep control of their parameters. It is particularly useful to variadic templates, to which it offers the possibility to count, list, map and propagate the parameters received without knowing their number in advance.

  6. Bag-of-words model - Wikipedia

    en.wikipedia.org/wiki/Bag-of-words_model

    # Make sure to install the necessary packages first # pip install --upgrade pip # pip install tensorflow from tensorflow import keras from typing import List from keras.preprocessing.text import Tokenizer sentence = ["John likes to watch movies. Mary likes movies too."

  7. DeepSpeed - Wikipedia

    en.wikipedia.org/wiki/DeepSpeed

    It includes the Zero Redundancy Optimizer (ZeRO) for training models with 1 trillion or more parameters. [4] Features include mixed precision training, single-GPU, multi-GPU, and multi-node training as well as custom model parallelism. The DeepSpeed source code is licensed under MIT License and available on GitHub. [5]

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  9. APMonitor - Wikipedia

    en.wikipedia.org/wiki/APMonitor

    The problem is then solved in Python by first installing the APMonitor package with pip install APMonitor or from the following Python code. # Install APMonitor import pip pip . main ([ "install" , "APMonitor" ])