Acknowledgements
This project would not have been possible without the people developing, maintaining and releasing open source projects online. Therefore, I would like to thank the people that developed the packages this project directly depends on, those that developed the packages those projects depend on, and so on:
pandas
: Powerful data structures for data analysis, time series, and statisticsnumpy
– Travis E. Oliphant et al.: Fundamental package for array computing in Pythontorch
– PyTorch Team: Tensors and Dynamic neural networks in Python with strong GPU accelerationtorchvision
– PyTorch Core Team: image and video datasets and models for torch deep learningpy
– holger krekel, Ronny Pfannschmidt, Benjamin Peterson and others: library with cross-python path, ini-parsing, io, code, log facilitiesmatplotlib
– John D. Hunter, Michael Droettboom: Python plotting packagepytorch-ignite
– PyTorch-Ignite Team: A lightweight library to help with training neural networks in PyTorch.tqdm
: Fast, Extensible Progress Metersympy
– SymPy development team: Computer algebra system (CAS) in Pythonscikit-learn
: A set of python modules for machine learning and data miningseaborn
: Statistical data visualizationjoblib
: Lightweight pipelining with Python functionstensorboard
– Google Inc.: TensorBoard lets you watch Tensors FlowConfigArgParse
: A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.torch-optimizer
– Nikolay Novik: pytorch-optimizeradabelief-pytorch
– Juntang Zhuang: PyTorch implementation of AdaBelief Optimizerdill
– Mike McKerns: serialize all of Pythonaislib
– Arnor Sigurdsson:colorama
: Cross-platform colored terminal text.torchtext
– PyTorch Text Team: Text utilities, models, transforms, and datasets for PyTorch.transformers
– The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors): State-of-the-art Machine Learning for JAX, PyTorch and TensorFlowsentencepiece
– Taku Kudo: SentencePiece python wrapperipython
– The IPython Development Team: IPython: Productive Interactive Computingtimm
: PyTorch Image Modelscaptum
– PyTorch Team: Model interpretability for PyTorchdeeplake
– activeloop.ai: Activeloop Deep Lakeaioboto3
– Terry Cain: Async boto3 wrappertermcolor
: ANSI color formatting for output in terminaltokenizers
– Anthony MOI <m.anthony.moi@gmail.com>:pyarrow
: Python library for Apache Arroweinops
– Alex Rogozhnikov: A new flavour of deep learning operationsumap-learn
: Uniform Manifold Approximation and Projectionfastapi
: FastAPI framework, high performance, easy to learn, fast to code, ready for productionuvicorn
: The lightning-fast ASGI server.pydantic
: Data validation using Python type hintstiktoken
– Shantanu Jain: tiktoken is a fast BPE tokeniser for use with OpenAI’s modelsmemory-profiler
– Fabian Pedregosa: A module for monitoring memory usage of a python programpytest
– Holger Krekel, Bruno Oliveira, Ronny Pfannschmidt, Floris Bruynooghe, Brianna Laugher, Florian Bruhin, Others (See AUTHORS): pytest: simple powerful testing with Pythontox
: tox is a generic virtualenv management and test command line toolflake8
– Tarek Ziade: the modular source code checker: pep8 pyflakes and cojupyter
– Jupyter Development Team: Jupyter metapackage. Install all the Jupyter components in one go.ipykernel
: IPython Kernel for Jupytercoverage
– Ned Batchelder and 225 others: Code coverage measurement for Pythonsnakeviz
: A web-based viewer for Python profiler outputpytest-cov
– Marc Schlaich: Pytest plugin for measuring coverage.pynvim
– Neovim Authors: Python client for Neovimpre-commit
– Anthony Sottile: A framework for managing and maintaining multi-language pre-commit hooks.gpustat
– Jongwook Choi: An utility to monitor NVIDIA GPU status and usageblack
: The uncompromising code formatter.Sphinx
: Python documentation generatorsphinx-rtd-theme
– Dave Snider, Read the Docs, Inc. & contributors: Read the Docs theme for Sphinxsphinx-copybutton
– Executable Book Project: Add a copy button to each of your code cells.tomlkit
– Sébastien Eustace: Style preserving TOML librarygdown
: Google Drive Public File/Folder Downloaderhypothesis
– David R. MacIver and Zac Hatfield-Dodds: A library for property-based testingpdf2image
– Edouard Belval: A wrapper around the pdftoppm and pdftocairo command line tools to convert PDF to a PIL Image list.vulture
– Jendrik Seipp: Find dead codemypy
– Jukka Lehtosalo: Optional static typing for Pythontypes-pyyaml
: Typing stubs for PyYAMLisort
– Timothy Crosley: A Python utility / library to sort Python imports.pytest-split
– Jerry Pussinen: Pytest plugin which splits the test suite to equally sized sub suites based on test execution time.