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 statistics

  • numpy – Travis E. Oliphant et al.: Fundamental package for array computing in Python

  • torch – PyTorch Team: Tensors and Dynamic neural networks in Python with strong GPU acceleration

  • torchvision – PyTorch Core Team: image and video datasets and models for torch deep learning

  • py – holger krekel, Ronny Pfannschmidt, Benjamin Peterson and others: library with cross-python path, ini-parsing, io, code, log facilities

  • matplotlib – John D. Hunter, Michael Droettboom: Python plotting package

  • pytorch-ignite – PyTorch-Ignite Team: A lightweight library to help with training neural networks in PyTorch.

  • tqdm : Fast, Extensible Progress Meter

  • sympy – SymPy development team: Computer algebra system (CAS) in Python

  • scikit-learn : A set of python modules for machine learning and data mining

  • seaborn : Statistical data visualization

  • joblib : Lightweight pipelining with Python functions

  • tensorboard – Google Inc.: TensorBoard lets you watch Tensors Flow

  • ConfigArgParse : 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-optimizer

  • adabelief-pytorch – Juntang Zhuang: PyTorch implementation of AdaBelief Optimizer

  • dill – Mike McKerns: serialize all of Python

  • aislib – 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 TensorFlow

  • sentencepiece – Taku Kudo: SentencePiece python wrapper

  • ipython – The IPython Development Team: IPython: Productive Interactive Computing

  • timm : PyTorch Image Models

  • captum – PyTorch Team: Model interpretability for PyTorch

  • deeplake – activeloop.ai: Activeloop Deep Lake

  • aioboto3 – Terry Cain: Async boto3 wrapper

  • termcolor : ANSI color formatting for output in terminal

  • tokenizers – Anthony MOI <m.anthony.moi@gmail.com>:

  • pyarrow : Python library for Apache Arrow

  • einops – Alex Rogozhnikov: A new flavour of deep learning operations

  • umap-learn : Uniform Manifold Approximation and Projection

  • fastapi : FastAPI framework, high performance, easy to learn, fast to code, ready for production

  • uvicorn : The lightning-fast ASGI server.

  • pydantic : Data validation using Python type hints

  • tiktoken – Shantanu Jain: tiktoken is a fast BPE tokeniser for use with OpenAI’s models

  • memory-profiler – Fabian Pedregosa: A module for monitoring memory usage of a python program

  • pytest – Holger Krekel, Bruno Oliveira, Ronny Pfannschmidt, Floris Bruynooghe, Brianna Laugher, Florian Bruhin, Others (See AUTHORS): pytest: simple powerful testing with Python

  • tox : tox is a generic virtualenv management and test command line tool

  • flake8 – Tarek Ziade: the modular source code checker: pep8 pyflakes and co

  • jupyter – Jupyter Development Team: Jupyter metapackage. Install all the Jupyter components in one go.

  • ipykernel : IPython Kernel for Jupyter

  • coverage – Ned Batchelder and 224 others: Code coverage measurement for Python

  • snakeviz : A web-based viewer for Python profiler output

  • pytest-cov – Marc Schlaich: Pytest plugin for measuring coverage.

  • pynvim – Neovim Authors: Python client for Neovim

  • pre-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 usage

  • black : The uncompromising code formatter.

  • Sphinx : Python documentation generator

  • sphinx-rtd-theme – Dave Snider, Read the Docs, Inc. & contributors: Read the Docs theme for Sphinx

  • sphinx-copybutton – Executable Book Project: Add a copy button to each of your code cells.

  • tomlkit – Sébastien Eustace: Style preserving TOML library

  • gdown : Google Drive Public File/Folder Downloader

  • hypothesis – David R. MacIver and Zac Hatfield-Dodds: A library for property-based testing

  • pdf2image – 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 code

  • mypy – Jukka Lehtosalo: Optional static typing for Python

  • types-pyyaml : Typing stubs for PyYAML

  • isort – 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.