Reverse Dependencies of itables

The following projects have a declared dependency on itables:

• ace-tools-open — Open implementation of ace_tools referenced in GPT4o
• adaptive-scheduler — Run many `adaptive.Learner`s on many cores (>10k) using `mpi4py.futures`, `ipyparallel`, `dask-mpi`, or `process-pool`.
• genai-toolkit — no summary
• generative_ai_toolkit — no summary
• halib — Small library for common tasks
• ibis-ml — IbisML is a library for building scalable ML pipelines using Ibis.
• irdf — Jupyter extension for interacting with RDF graphs
• jumper-kernel — This is a Jupyter Python Kernel for performance engineering. Beside performance data as CPU, GPU, memory utilization it supports performance data recording with Score-P.
• jupyter-interactive — Initialise a Jupyter notebook with useful extensions and reasonable defaults
• krezi — Array of Utilities for Lazy but Efficient Programmers
• manb — Mission Aware Notebook
• nandai — Nand AI Python SDK
• nrsur-catalog — GW event posteriors obtained using numerical relativity surrogate models
• ou-tm351-py — Python package installation for OU module TM351
• pdstools — Open source tooling that helps Data Scientists to analyze Pega models and conduct impactful analyses.
• pinder — PINDER: The Protein INteraction Dataset and Evaluation Resource
• plinder — PLINDER: The Protein-Ligand INteraction Dataset and Evaluation Resource
• policyengine-uk-data — A package to create representative microdata for the UK.
• policyengine-us-data — A package to create representative microdata for the US.
• rapidpredict — rapid predict is a python package to simplifies the process of fitting and evaluating multiple machine learning models on a dataset.
• shakecore — Shake events locating and focal mechanism analysis
• siat — Securities Investment Analysis Tools (siat)
• space_analysis — Python library for data analysis in space physics
• spark-jira-tools — spark_jira_tools
• spectrafit — Fast fitting of 2D- and 3D-Spectra with established routines
• sqltrack — SQL-based experiment tracking
• syft — Perform numpy-like analysis on data that remains in someone elses server
• visiontext — Utilities for deep learning on multimodal data.
• visuallayer — Open, Clean Datasets for Computer Vision.
• xinfer — A unified interface to run inference on machine learning libraries.