Reverse Dependencies of jupyterlab-pygments

The following projects have a declared dependency on jupyterlab-pygments:

• abracadabra — Making hypothesis and AB testing magically simple!
• ai-economist — Foundation: An Economics Simulation Framework
• ai-python — Microsoft AI Python Package
• azure-arm-nb-extensions — Jupyter notebook extensions for azure arm.
• bitfount — Machine Learning and Federated Learning Library.
• CADPR — Standardize and Automate processes utilized by the DAMs at Nike in CA
• ChemScraper — Scraping chemical vendors for pricing/availability info.
• chicken-coop — An environment for reproducing dominance hierarchies in RL agents
• CIxTools — Cheminformatics Tools
• cloud-io — Handle I/O from cloud buckets
• corradin-opioid-project — no summary
• custom-bgr — Customized background removal app
• dexteritysdk — Client for Dexterity - a modular derivatives decentralized exchange reference implementation
• elixir-nbc — Converting Elixir Notebooks
• emzed-spyder — emzed IDE, see also https://emzed.ethz.ch
• ENGR131-2024 — ENGR131_2024 package
• face-recognition-and-drowsiness-detection — Python Boilerplate contains all the boilerplate you need to create a Python package.
• Gao-Anime — AI Head
• gdp-time-series — no summary
• gordo — Train and build models for Argo / Kubernetes
• GPErks — A Python library to (bene)fit Gaussian Process Emulators.
• grater-expectations — A grated application of Great Expectations to create greater Expectations
• hammadml-gpu — Hammad Python ~ Machine Learning
• hbac-bias-detection — no summary
• image-crawl — Crawl and transform images
• ivystar — python tools package of ivystar
• jnp — Export Jupyter notebook presentations with custom CSS.
• junctionart — Procedural HD Map and Intersection Generator
• jupyter-cell-extractor — ""
• jupyterlab-disable-download — disable data download from notebook
• keywords-en — keywords extract
• knic-jupyter — A JupyterLab extension.
• lakehouse-engine — A Spark framework serving as the engine for several lakehouse algorithms and data flows.
• latentscope — Quickly embed, project, cluster and explore a dataset.
• lintML — A security-first linter for machine learning training code.
• LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
• lp-Aicloud — this a aicloud
• mdml — Application of Deep learning on molecular dymanamics trajectories
• metro-sp-mdp — no summary
• nbconvert — Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`).
• neurocat — Interface Design for Neurocat's Research Engineer Test
• NikeCA — Standardize and Automate processes
• nwb4fp — Description of my package
• nwb4fprobe — Description of my package
• oarepo — CESNET, UCT Prague and NTK wrapper around Invenio v3.
• omdenalore — AI for Good library
• parcel-data-collector — no summary
• parcel-data-collector2 — no summary
• pinkfish — A backtester and spreadsheet library for security analysis.
• pricetool — no summary
• proofs — Mathematical proof assistant for students and amateurs.
• pytest-zy — 接口自动化测试框架
• qc-benchmark-dwave — caict qc benchmark tooklit for Dwave Leap cloud
• qsmap — Package provides functionality for working with geographical data, routing, and mapping
• quant1x — Quant1X量化交易框架
• rlsmorph — no summary
• roodmus — Synthetic SP micrograph creation and analysis
• scdna-replication-tools — Code for analyzing single-cell replication dynamics
• scifit — Scientific Fit for Python
• scikit-rt — Toolkit for analysis of radiotherapy data
• sconce — Model Compresion Made Easy
• scProject — Transfer learning framework for single cell gene expression analysis in Python
• sphynxml — no summary
• stuned — Utility code from STAI (https://scalabletrustworthyai.github.io/)
• Task-4-5-Maihitooy — A task
• tasklit — A task scheduling app build on streamlit.
• TFOD-Automatic — Automated Object detection for Beginner using python and Tensorflow
• th2-data-services-utils — th2_data_services_utils
• tid-home-prices-prediction — Train a xgboost model to predict housing prices in Bangalore
• tid-salary-survey-prediction — Train a gradient boosted tree to predict the salary of US residents from a salary-related survey dataset
• tomoco — A CNN Channel Pruning System
• tpds-core — Microchip(SPG) Trust Platform Core
• training-grounds — The framework for featurization and model training
• trialtracker — Methods to extract and transform clinical trial data
• tspq0 — Travelling salesman problem by qiskit
• VASPsol — A VASPsol python helper package to simplify calculations and analysis
• velocycle — Bayesian model for RNA velocity estimation of periodic manifolds
• wisdom-sdk — Wisdom SDK