Reverse Dependencies of jupyter
The following projects have a declared dependency on jupyter:
- backbone-learn — A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.
- balanced-clustering — Clustering metrics for imbalanced datasets
- bark — Bark text to audio model
- bark-simulator — A tool for Behavior benchmARKing
- batsim-py — Batsim-py allows using Batsim from Python 3.
- baybe — A Bayesian Back End for Design of Experiments
- bayeso — Simple, but essential Bayesian optimization package
- baytune — Bayesian Tuning and Bandits
- bciavm — bciAVM is a machine learning pipeline used to predict property prices.
- beanmachine — Probabilistic Programming Language for Bayesian Inference
- bechdelai — Automating the Bechdel test and its variants for feminine representation in movies with AI
- beetroots — Beetroots (BayEsian infErence with spaTial Regularization of nOisy multi-line ObservaTion mapS)
- bellek — My digital memory
- besos — A library for Building and Energy Simulation, Optimization and Surrogate-modelling
- beth — Open source chess AI framework
- betterpythonchallenge — BD Python challenge
- bhad — Bayesian Histogram-based Anomaly Detection
- bia-explorer — no summary
- bibliomancer — bibliomancer
- bifacial-radiance — Tools to interface with Radiance for the PV researcher
- bigbang-py — BigBang is a toolkit for studying communications data from collaborative projects. It currently supports analyzing mailing lists from Sourceforge, Mailman, ListServ, or .mbox files.
- BinMSGUI — BinMSGUI, sorts .bin data through MountainSort and exports as Tint format.
- biocomet — A brief description of the biocomet package
- bioevents — A lightweight library for managing and manipulating time series events, with a focus on biosensing applications.
- bioimageio.core — Python functionality for the bioimage model zoo
- bioimageio.spec — Parser and validator library for bioimage.io specifications
- bioinf-common — Aggregation of functionalities needed in multiple projects
- bionic — A Python framework for building, running, and sharing data science workflows
- biothings-explorer — Python Client for BioThings Explorer
- biotorch — BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms.
- birdset — BirdSet: A multi-task benchmark and data pipeline for deep learning based avian bioacoustics
- biyam — Blockly w/ Python on Jupyter Notebook
- blackcellmagic — IPython magic command to format python code in cell using black.
- blizz — blizz – be blizzful.
- blopt — Beamline optimization with machine learning
- bloptools — Beamline optimization with machine learning
- bluebonnet — Scaling solutions for production analysis from unconventional oil and gas wells
- bmr4pml — Bayesian model reduction for probabilistic machine learning
- bnpm — A library of useful modules for data analysis.
- BNumMet — Basic Numerical Methods for Python 3
- bnw-tools — Tools developed in the BorgNetzWerk project for the extraction, analysis and publication of knowledge.
- boa-framework — Bayesian Optimization for Anything: A high-level Bayesian optimization framework and model wrapping tool. It provides an easy-to-use interface between models and the python libraries Ax and BoTorch.
- bofire — no summary
- bonobo — Bonobo, a simple, modern and atomic extract-transform-load toolkit for python 3.5+.
- bonobo2 — Bonobo 2.0: A reboot of Bonobo, the simple, modern and atomic extract-transform-load toolkit for python 3.10+.
- botorch — Bayesian Optimization in PyTorch
- bpd — bpd
- bpforms — Unambiguous representation of modified DNA, RNA, and proteins
- bpyutils — A collection of various common Python utilities.
- brainrender — Visualisation and exploration of brain atlases and other anatomical data
- branthebuilder — Python package management
- breizhcrops — A Satellite Time Series Dataset for Crop Type Identification
- brevitas — Quantization-aware training in PyTorch
- brickstudy — A package for analysis of MRI
- broadbean — Package for easily generating and manipulating signal pulses.
- bryn-python-boilerplate — Python Boilerplate contains all the boilerplate you need to create a Python package.
- bunkatopics — Bunkatopics is a Topic Modeling package and Exploration Module
- buslib — Client library for interfacing with the BUS Methodology data API
- cactice — computing agricultural crop lattices
- calisp — Isotope analysis of proteomics data
- callisto-jupyter-d1 — Jupyter D1 Server for Callisto
- calmcode — no summary
- calpit — no summary
- canvas-grab — Downloads all Canvas files to a local directory. Provides GUI for managing the download.[
- canvas-nbgrader — no summary
- capetools — Basic set of python tools
- cappr — Completion After Prompt Probability. Make your LLM make a choice
- captum — Model interpretability for PyTorch
- careamics-portfolio — A helper package to download example datasets used in various publications and deep-learning algorithms, including data featured in N2V, P(P)N2V, DivNoising, HDN, EmbedSeg, etc.
- carpy — Consolidated aircraft recipes in Python.
- CASCADe-filtering — CASCADe filtering: Calibration of trAnsit Spectroscopy using CAusal Data filtering module.
- CASCADe-jitter — CASCADe-jitter: Calibration of trAnsit Spectroscopy using CAusal Data jitter detection module.
- CASCADe-spectroscopy — CASCADe : Calibration of trAnsit Spectroscopy using CAusal Data
- CasingSimulations — Casing Simulations: Electromagnetics + Steel Cased Wells
- cast-bootstrap5 — Bootstrap5 theme for django-cast
- cast-vue — Vue theme for django-cast.
- castyllo — A testing package for Jupyter
- catalystcoop.cheshire — Replace this text with a one line description of the package.
- catalystcoop.pudl — An open data processing pipeline for US energy data
- catastrophy — A fungal trophy classifier based on CAZymes
- catchMinor — model library for imbalanced-learning & anomaly detection in tabular, time series, graph data
- catenets — Conditional Average Treatment Effect Estimation Using Neural Networks
- ccapi — Python API for Cell Collective
- cchdo.hydro — no summary
- ccnuacm-datamocker — A data mocking library for CCNU ACM
- cctools — no summary
- cebra — Consistent Embeddings of high-dimensional Recordings using Auxiliary variables
- cellbender — A software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data
- cellpy — Extract and manipulate data from battery data testers.
- cellsystem — An agent-based framework for the simulation of biological cell systems and more.
- cemids — This package provides a Python Toolbox with a set of functions to assist in the management of the CEMI Data Science project
- centraal-dataframework — Utilidades para interactuar con Azure Datalake.
- centuri-course — Some tools to follow the introduction course to Python
- cfai — The package for counterfactual explanations on Pytorch platform
- cfl — Causal Feature Learning (CFL) is an unsupervised algorithm designed to construct macro-variables from low-level data, while maintaining the causal relationships between these macro-variables.
- cfnet — A counterfactual explanation library using Jax
- chain-norm — chain-norm is python library for suquential text normalization
- changepoynt — Several change point detection methods implemented in python.
- chaospy — Numerical tool for performing uncertainty quantification
- chartcrafthub — Code, debug, reuse this chart, workshop materials and more.