Reverse Dependencies of ipykernel
The following projects have a declared dependency on ipykernel:
- autoanno — Investigation into using AutoML and Topological Data Analysis for Automated Annotation
- AutoCarver — Automatic Discretization of Features with Optimal Target Association
- AutoEis — A tool for automated EIS analysis by proposing statistically plausible ECMs.
- autora-doc — Automatic documentation generator from AutoRA code
- avidaq — controls for napari and micromanger
- aws-glue-sessions — Glue Interactive Sessions Jupyter kernel that integrates almost anywhere Jupyter does including your favorite IDEs.
- AWSGlueInteractiveSessionsKernel — no summary
- axisvm — A Python package for AxisVM.
- azpype — A native Python interface wrapping AzCopy for bulk data transfer to and from Azure Blob Storage.
- aztools — no summary
- azure-arm-nb-extensions — Jupyter notebook extensions for azure arm.
- azure-datalake-utils — Utilidades para interactuar con Azure Datalake.
- azureml-automl-common-tools — Internal metapackage used for Azure machine learning.
- azureml-automl-runtime — Contains the ML and non-Azure specific common code associated with running AutoML for public use.
- azureml-contrib-notebook — no summary
- azureml-train-automl-runtime — Used for automatically finding the best machine learning model and its parameters.
- backbone-learn — A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.
- balanced-clustering — Clustering metrics for imbalanced datasets
- balltree — Fast balltree implementation for 3-dim data.
- bash_kernel — A bash kernel for Jupyter
- batsim-py — Batsim-py allows using Batsim from Python 3.
- bayes_mef — Python implementation of the Bayesian MEF method
- bccovideda — A package to download BC covid data and create simple EDA
- behave-prophet — no summary
- besos — A library for Building and Energy Simulation, Optimization and Surrogate-modelling
- beth — Open source chess AI framework
- betting-env — Create a custom GYM environment to simulate trading strategy.
- bhad — Bayesian Histogram-based Anomaly Detection
- bi_est_python — [fork of claradepaolis/bi-est-python] Estimate bias in semisupervised data via nested Expectation Maximization
- bigquery-magics — Google BigQuery magics for Jupyter and IPython
- BioCantor — Flexible feature arithmetic, seamlessly integrated with nested coordinate systems.
- BIOecmpy — Automated construction of enzyme constraint models using ECMpy workflow
- biothings-explorer — Python Client for BioThings Explorer
- biotorch — BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms.
- birdhouse-birdy — Birdy provides a command-line tool to work with Web Processing Services.
- bisheng-pyautogen — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
- bitfount — Machine Learning and Federated Learning Library.
- bivariate — This package contains methods that assist in performing bivariate analysis of datasets.
- black-it — black-it: Black-box abm calibration kit
- blue-prints — Blueprints: Python AEC library.
- bluesky-queueserver — Server for queueing plans
- bluprint-conf — YAML configuration module for Bluprint
- bodo-platform-dummy-kernel — A simple wrapper around IPython Kernel for the Bodo Platform Notebook
- bodo-platform-ipyparallel-kernel — A simple IPyParallel based wrapper around IPython Kernel for the Bodo Platform
- boilerdaq — Data processing pipeline for a nucleate pool boiling apparatus.
- bolero — sequence
- bolero-process — Data preprocessing for bolero package
- boost-histogram — The Boost::Histogram Python wrapper.
- boreal — Bokeh Reactive Audio Library
- box-oauth — Box headless OAuth2 client
- bpnet — BPNet: toolkit to learn motif synthax from high-resolution functional genomics data using convolutional neural networks
- bpyutils — A collection of various common Python utilities.
- byc-pyflow — An open-source tool for modular visual programing in python
- c4v-py — Code for Venezuela python library.
- calliope — A multi-scale energy systems modelling framework.
- callisto — Create jupyter kernels from virtual environments
- CalSciPy — A toolbox for analyzing, designing, and visualizing multiphoton imaging & optogenetics experiments.
- calysto_bash — A Jupyter kernel for Bash.
- campa — no summary
- carpo — Run, profile, and save Jupyter notebooks from the command line
- causallift — CausalLift: Python package for Uplift Modeling for A/B testing and observational data.
- CausalPy — Causal inference for quasi-experiments in Python
- ccapi — Python API for Cell Collective
- cebra — Consistent Embeddings of high-dimensional Recordings using Auxiliary variables
- cegalprizm-pycoderunner — Cegal Prizm PyCode Runner
- cellcharter — A Python package for the identification, characterization and comparison of spatial clusters from spatial -omics data.
- celldetective — description
- celldino — Cellular decomposition of intrinsic and niche-induced omic effects
- cellpy — Extract and manipulate data from battery data testers.
- 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.
- cfml-kernel — A Jupyter notebook kernel for CFML powered by Commandbox
- chartart — ChartArt python package
- chartart-appbuilder — ChartArt AppBuilder python package
- chartify — Python library to make plotting simpler for data scientists
- ChatGPTAutomation — A Python package for automating interactions with ChatGPT using Selenium. Chatgpt automation without api. Chatgptautomation
- chatplayground — ChatPlayground for LLMs
- chconsole — Jupyter/Qt-based Chat Console
- checkit-dashboard — Dashboard for authoring/disseminating randomized exercises
- chemprop — Molecular Property Prediction with Message Passing Neural Networks
- ChemScraper — Scraping chemical vendors for pricing/availability info.
- cherab-inversion — Cherab inversion framework
- chicken-coop — An environment for reproducing dominance hierarchies in RL agents
- chimpflow — Service which polls the database for subwell images which need to have the chimp detector run on them.
- chisel-nbdev — Port of nbdev to write SCALA / chisel library entirely in notebooks
- Chronix2Grid — A python package to generate "en-masse" chronics for loads and productions (thermal, renewable)
- cir4mics — Simulating structurally variable NPCs or other ring-like structures for Microscopy
- circuit_knitting_toolbox — A software prototype for a circuit knitting toolbox which connects user applications with runtime primitives
- circuitpython-kernel — CircuitPython Kernel enables CircuitPython to be used in Jupyter Notebooks for learning Python coding with microcontrollers.
- cirq — A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
- cirq-unstable — A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
- cisc_sections — CISC Steel sections
- citecheck — Run-time protection of citation chains
- CIxTools — Cheminformatics Tools
- ckernel — Provides a Jupyter kernel which allows automatic compilation and execution of C/C++ code from a notebook environment.
- clang-repl-kernel — Clang-REPL kernel for Jupyter
- cle-data-toolkit — A project developed by the City of Cleveland Office of Urban Analytics and Innovation, built to simplify civic data processing for the public.
- climate-categories — Commonly used codes, categories, terminologies, and nomenclatures used in climate policy analysis as a Python package.
- clinc — Cell Lineage from Normalized Covariance
- clipsai — Clips AI is an open-source Python library that automatically converts long videos into clips
- clisops — CLISOPS - Climate simulation operations.