Reverse Dependencies of jupyter

The following projects have a declared dependency on jupyter:

• forensics — Feedback Forensics
• forestatrisk — Modelling and forecasting deforestation in the tropics
• formattex — A simple and uncompromising Latex code formatter
• fortune-cookie-demo — demo python CLI tool to generate random fortunes
• fortune-cookie-generator-demo — demo python CLI tool to generate random fortunes
• fourier-image-transformer — Fourier Image Transformer
• fourth-day — Bioluminescence modeling for deep-sea experiments
• foxes — Farm Optimization and eXtended yield Evaluation Software
• foxes-opt — Wind farm optimization for the FOXES package
• fqe — OpenFermion Fermionic Quantum Emulator
• FracAbility — Analyse fracture networks for digitalized rock outcrops.
• fracture-fea-laf — no summary
• Fragmenstein — Scaffold hopping between bound compounds by stitching them together like a reanimated corpse
• framelink — no summary
• freamon — Advanced feature engineering, analysis, modeling and optimization for data science
• free — Free yourself from CAPTCHAs!
• freqtrade — Freqtrade - Crypto Trading Bot
• fretbursts — Burst analysis toolkit for single and multi-spot smFRET data.
• friendly-custom-exception — Showing how to add custom exceptions to friendly-traceback
• fsrapiclient — Lightweight Python client library for the UK Financial Services Register RESTful API
• Fumagalli-Motta-Tarantino-2020 — Implements the models presented in Fumagalli et al. (2020)
• fundus-image-toolbox — A toolbox for fundus image analysis
• funman-demo — Functional Model Analysis Tool - Demo Package
• funpymodeling — A package designed for data scientists and teachers, to speed up their ML projects, focused on exploratory data analysis, data preparation, and model performance.
• FuzzTypes — FuzzTypes is a Pydantic extension for annotating autocorrecting fields
• fuzzy-sql — A generator of random SQL SELECT queries mainly to compare responses from a real dataset against that from a synthetic dataset.
• fx-pairs — FX trading
• ga4gh.cat_vrs — GA4GH Categorical Variation Representation (Cat-VRS) reference implementation
• ga4gh.va_spec — GA4GH Variant Annotation (VA) reference implementation
• ga4gh.vrs — GA4GH Variation Representation Specification (VRS) reference implementation
• galaxysled — A code to reproduce and fit a galaxy CO SLED
• gamma-facet — Human-explainable AI.
• gamma-pytools — A collection of Python extensions and tools used in BCG GAMMA's open-source libraries.
• gan-recover — A small package
• gandula — Gandula grabs football data and puts it back into play.
• Gao-Anime — AI Head
• gators — Model building and model scoring library
• gc-meox-tms — In-silico MeOX/TMS derivatization of chemical compounds
• gda-public — Several fundamental TDA tools by Geometric Data Analytics Inc.
• gdm-concordia — A library for building a generative model of social interacions.
• gdp-time-series — no summary
• gedi-canopy-height — generates rasters of canopy height from the Global Ecosystem Dynamics Investigation (GEDI) mission
• geepal — From Google Calendar to dataframes
• geneinfo — Functions for showing gene information in jupyter notebooks.
• generalized-additive-models — Generalized additive models in Python.
• generator_zadan — Generuje losowo roznego typu zadania
• generic-qaoa — no summary
• genestboost — General boosting framework for any regression estimator
• geneweaver-boolean-algebra — Geneweaver's Boolean Algebra Tool
• gennet-forked — Framework for Interpretable Neural Networks
• genno — Efficient, transparent calculation on N-D data
• geoana — Analytic expressions for geophysical responses
• geom-lrr — Protein domain annotation tool
• geometadp — Geophysical Metadata Picker
• geomprompt — GeomPrompt is the default project generated by GDA Cookiecutter. GeomPrompt contains all the boilerplate you need to create a Python package according to the best-practices of Geometric Data Analytics, Inc.
• geomstats — Geometric statistics on manifolds
• geos5fp — generates rasters of near-real-time GEOS-5 FP near-surface meteorology
• geoschem-gcpy — no summary
• geoscilabs — geoscilabs
• gf-kernel — Simple example kernel for GF
• gio — Create xarray.DataArrays from various subsurface data formats.
• giotto-deep — Toolbox for Deep Learning and Topological Data Analysis.
• giotto-learn — Toolbox for Machine Learning using Topological Data Analysis.
• giotto-learn-nightly — Toolbox for Machine Learning using Topological Data Analysis.
• giotto-ph — High performance tool for Persistent Homology computations.
• giotto-tda — Toolbox for Machine Learning using Topological Data Analysis.
• giotto-tda-nightly — Toolbox for Machine Learning using Topological Data Analysis.
• giotto-time — Toolbox for Time Series analysis and integration with Machine Learning.
• GISAXS-XPCS — Package for GISAXS-XPCS analysis. For internal use within Shreiber lab.
• glass — Generator for Large Scale Structure
• gloomhaven — Probability evaluation of Gloomhaven attack modifier decks
• gnomad-toolbox — Toolbox to help users process gnomAD release files
• gnss-lib-py — Modular Python tool for parsing, analyzing, and visualizing Global Navigation Satellite Systems (GNSS) data and state estimates
• gnssr — GNSS-R Data Processing Package
• go1pylib — Python Library for Go1 Robot Control
• golem-kernel — Jupyter Kernel on Golem (https://www.golem.network/)
• GPErks — A Python library to (bene)fit Gaussian Process Emulators.
• gpflowopt-master — Bayesian Optimization with GPflow
• gpilot — AI Journalist
• gptorch — gptorch - a Gaussian process toolbox built on PyTorch
• gpytorch — An implementation of Gaussian Processes in Pytorch
• gpytorch-mogp — A package which extends GPyTorch with correlated multi-output GPs
• GQCMS — A computational chemistry package
• gradebook — Intuitive methods for managing academic records
• granite-io — Input and output processing for IBM Granite models
• granite-tsfm — Public notebooks and utilities for TSFM
• granola — Generating Real-time Autonomous N-device Output without Linked Apparatuses
• grape-pi — Using graph neural networks to enhance protein identification using protein interaction networks.
• graph-search — graph-search
• graphfleet — A graph-based knowledge management and query system
• graphite-datasets — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• graphql-example — A simple graphql server
• great-tables — Easily generate information-rich, publication-quality tables from Python.
• greenguard — AutoML for Renewable Energy Industries.
• greykite — A python package for flexible forecasting
• gridthings — Python library for working with Grid-like structures (e.g. tic-tac-toe)
• gridx-prescient — Power Generation Scenario creation and simulation utilities
• grounder — Estimate the quality and factual correctness of natural language text to help ground language models such as BERT, GPT-J, GPT-Neo, ChatGPT, and Bard.
• gs-quant — Goldman Sachs Quant
• guidance — A guidance language for controlling large language models.