diff --git a/README.md b/README.md index 34ff193f31..6ddb8e1988 100644 --- a/README.md +++ b/README.md @@ -179,8 +179,8 @@ _Frameworks for Neural Networks and Deep Learning. Also see [awesome-deep-learni - [jax](https://github.com/jax-ml/jax) - A library for high-performance numerical computing with automatic differentiation and JIT compilation. - [keras](https://github.com/keras-team/keras) - A high-level deep learning library with support for JAX, TensorFlow, and PyTorch backends. -- [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast. - [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration. +- [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast. - [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms. - [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google. @@ -192,7 +192,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git - [feature_engine](https://github.com/feature-engine/feature_engine) - sklearn compatible API with the widest toolset for feature engineering and selection. - [h2o](https://github.com/h2oai/h2o-3) - Open Source Fast Scalable Machine Learning Platform. - [lightgbm](https://github.com/lightgbm-org/LightGBM) - A fast, distributed, high performance gradient boosting framework. -- [mindsdb](https://github.com/mindsdb/minds-platform) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries. +- [mindsdb](https://github.com/mindsdb/minds) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries. - [pgmpy](https://github.com/pgmpy/pgmpy) - A Python library for probabilistic graphical models and Bayesian networks. - [scikit-learn](https://github.com/scikit-learn/scikit-learn) - The most popular Python library for Machine Learning with extensive documentation and community support. - - [scikit-lego](https://github.com/koaning/scikit-lego) - A collection of lego bricks for scikit-learn pipelines. @@ -480,8 +480,8 @@ _Libraries for serializing complex data types._ _Libraries for data analysis._ - [aws-sdk-pandas](https://github.com/aws/aws-sdk-pandas) - Pandas on AWS. -- [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data. - [data-profiling](https://github.com/Data-Centric-AI-Community/fg-data-profiling) - Generate detailed data profiling reports for pandas DataFrames. +- [datasette](https://github.com/simonw/datasette) - An open source multi-tool for exploring and publishing data. - [desbordante](https://github.com/desbordante/desbordante-core/) - An open source data profiler for complex pattern discovery. - [ibis](https://github.com/ibis-project/ibis) - A portable Python dataframe library with a single API for 20+ backends. - [modin](https://github.com/modin-project/modin) - A drop-in pandas replacement that scales workflows by changing a single line of code. @@ -696,21 +696,21 @@ _Libraries for debugging code._ _Compile software from source code._ - [bitbake](https://github.com/openembedded/bitbake) - A make-like build tool for embedded Linux. +- [doit](https://github.com/pydoit/doit) - A task runner and build tool. - [invoke](https://github.com/pyinvoke/invoke) - A tool for managing shell-oriented subprocesses and organizing executable Python code into CLI-invokable tasks. - [platformio](https://github.com/platformio/platformio-core) - A console tool to build code with different development platforms. - [pybuilder](https://github.com/pybuilder/pybuilder) - A continuous build tool written in pure Python. -- [doit](https://github.com/pydoit/doit) - A task runner and build tool. - [scons](https://github.com/SCons/scons) - A software construction tool. ### Documentation _Libraries for generating project documentation._ -- [sphinx](https://github.com/sphinx-doc/sphinx/) - Python Documentation generator. - - [awesome-sphinxdoc](https://github.com/ygzgxyz/awesome-sphinxdoc) - [diagrams](https://github.com/mingrammer/diagrams) - Diagram as Code. - [mkdocs](https://github.com/mkdocs/mkdocs/) - Markdown friendly documentation generator. - [pdoc](https://github.com/mitmproxy/pdoc) - Epydoc replacement to auto generate API documentation for Python libraries. +- [sphinx](https://github.com/sphinx-doc/sphinx/) - Python Documentation generator. + - [awesome-sphinxdoc](https://github.com/ygzgxyz/awesome-sphinxdoc) **DevOps** @@ -910,7 +910,7 @@ _Libraries for parsing and manipulating specific text formats._ - General - [docling](https://github.com/docling-project/docling) - Library for converting documents into structured data. - - [kreuzberg](https://github.com/kreuzberg-dev/kreuzberg) - High-performance document extraction library with a Rust core, supporting 62+ formats including PDF, Office, images with OCR, HTML, email, and archives. + - [kreuzberg](https://github.com/xberg-io/xberg) - High-performance document extraction library with a Rust core, supporting 62+ formats including PDF, Office, images with OCR, HTML, email, and archives. - [pyelftools](https://github.com/eliben/pyelftools) - Parsing and analyzing ELF files and DWARF debugging information. - [tablib](https://github.com/jazzband/tablib) - A module for Tabular Datasets in XLS, CSV, JSON, YAML. - MS Office