Reverse Dependencies of ipykernel
The following projects have a declared dependency on ipykernel:
- quantfreedom — no summary
- quantile-data-kit — An internal Quantile development kit for making working with data easier
- quantum-computer — Optimal Control for Quantum Systems
- quarks2-fractal — Integrated image classification and semantic segmentation package
- quartic-sdk — QuarticSDK is the SDK package which exposes the APIs to the user
- quarto — Python Interface to 'Quarto' Markdown Publishing System
- Qulacs — Quantum circuit simulator for research
- qupulse — A Quantum compUting PULse parametrization and SEquencing framework
- qutree — plot Bloch Sphere Binary Tree
- radvel — no summary
- raesl — Ratio ESL support in Python.
- ragavi — Radio Astronomy Gain and Visibility Inspector
- raster-basics — Basic GeoTIFF Processing
- ravenpy — A Python wrapper to setup and run the hydrologic modelling framework Raven.
- reacton — no summary
- recordlinkage — A record linkage toolkit for linking and deduplication
- rectanglepy — Hierarchical deconvolution of bulk transcriptomics
- recurse-words — find words that have other words in them that when you take the inner words out what's left is still a word
- red-utils — Collection of utility scripts/functions that I use frequently.
- redex — A combinator library for designing algorithms
- redframes — General Purpose Data Manipulation Library
- regridding — Numba-accelerated interpolation routines
- remix.framework — REMix energy system optimization framework
- renamed-project-orl — no summary
- reportsrender — Execute and render notebooks as HTML reports.
- reprexpy — Render reproducible examples of Python code (port of R package `reprex`)
- responsibleai — SDK API to explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.
- RESTEasyCLI — Handy REST API client on your terminal
- retentioneering — Retentioneering is a Python library that makes analyzing clickstreams, user paths (trajectories), and event logs much easier, and yields much broader and deeper insights than funnel analysis. You can use Retentioneering to explore user behavior, segment users, and form hypotheses about what drives users to desirable actions or to churning away from a product.
- ribotools — Ribo-seq analysis tools associated with the Rp-Bp package and more
- riid — Machine learning-based models and utilities for radioisotope identification
- riip — Python 3 + Pandas wrapper for the refractiveindex.info database
- ringkasan — no summary
- risk-mgm-pack — no summary
- river-torch — Online Deep Learning for river
- rlsmorph — no summary
- robotdesigner — no summary
- robotgpt-interpreter — Let language models run code.
- robotkernel — A Jupyter kernel for interactive acceptance-test-driven development with the Robot Framework
- rockingester — Service to discover incoming images from the Formulatrix Rockmaker and ingest them into the database.
- roocs-utils — A package containing common components for the roocs project
- roodmus — Synthetic SP micrograph creation and analysis
- rootwater — Python package to estimate root water uptake (RWU) from rhizosphere soil moisture dynamics and some tools to handle sap flow measurements
- rostam-pack — no summary
- rotman-ncs — UoT Rotman NLP Case Study
- rotsim2d — Simulate 2D rovibrational spectra of gas-phase molecular samples
- roux — Convenience functions.
- rpbp — Rp-Bp: Ribosome Profiling with Bayesian Predictions
- rsconnect-python — Python integration with Posit Connect
- rtm-fast — A fast unification ds code package
- runml-checks — Package for validating your machine learning model and data
- sae-lens — Training and Analyzing Sparse Autoencoders (SAEs)
- sage-importance — For calculating global feature importance using Shapley values.
- sagemaker-headless-execution-driver — Execution Driver for Notebook Scheduler
- sail — Python package for streaming data and incremental learning
- salesgpt — SalesGPT - Your Context-Aware AI Sales Assistant
- sap2000 — Python App to control and manipulate SAP2000 Model
- sapientml-core — A SapientML plugin of SapientMLGenerator
- sax — Autograd and XLA for S-parameters
- sbmlutils — sbmlutils are utilities for working with SBML.
- scdataloader — a dataloader for single cell data in lamindb
- scdna-replication-tools — Code for analyzing single-cell replication dynamics
- schnapsen — A platform for coding and running card playing bots
- scib-metrics — Accelerated and Python-only scIB metrics
- scicomap — data visualization on maps with varying levels of granularity
- scifit — Scientific Fit for Python
- scikit-fda — Functional Data Analysis Python package.
- scikit-rf — Object Oriented Microwave Engineering
- scikit-rt — Toolkit for analysis of radiotherapy data
- scikit-surgery-evaluation — A python library for performing surgical skills evaluation
- scikit-surgerytf — scikit-surgerytf is a Python package for Tensor Flow examples and utilities
- scikit-survival — Survival analysis built on top of scikit-learn
- scilab_kernel — 'A Jupyter kernel for Scilab.'
- scinum — Scientific numbers with multiple uncertainties and correlation-aware, gaussian propagation and Numpy support.
- SciQLop — An ergonomic and efficient application to browse and label in situ plasma measurements from multi-mission satellite data.
- scirpy — Python library for single-cell adaptive immune receptor repertoire (AIRR) analysis
- sciunit — A test-driven framework for formally validating scientific models against data.
- sckernel — A SuperCollider kernel for Jupyter Notebooks
- sconce — Model Compresion Made Easy
- ScopeSim — Generalised telescope observation simulator
- scorep-jupyter — This is the Score-P Python Kernel that enables you to execute Python code in Jupyter Notebooks with Score-P. The kernel is based on the Score-P Python bindings.
- scorepyo — This is the scorepyo repository.
- scorescanner — scorescanner helps you understand the main factors influencing the target of predictive tabular machine learning models.
- scprep — scprep
- scProject — Transfer learning framework for single cell gene expression analysis in Python
- scriptax-jupyter-kernel — Scriptax Jupyter kernel
- scslat — A graph deep learning based tool to align single cell spatial omics data
- scvelo — RNA velocity generalized through dynamical modeling
- scvi-criticism — Evaluation metrics for scvi-tools models
- scyan — Single-cell Cytometry Annotation Network
- sdeval — Evaluation for stable diffusion model training
- sdmbc — Sub-Daily Multivariate Bias Correction (SDMBC)
- sdss-marvin — Toolsuite for dealing with the MaNGA dataset
- sdynpy — A Structural Dynamics Library for Python
- seaborn — Statistical data visualization
- sec-certs — A tool for data scraping and analysis of security certificates from Common Criteria and FIPS 140-2/3 frameworks
- sed-processor — Single Event Data Frame Processor: Backend to handle photoelectron resolved datastreams
- seismic-graph — seismograph is a plotting library for SEISMIC
- self-driving-lab-demo — Software and instructions for setting up and running an autonomous (self-driving) laboratory optics demo using dimmable RGB LEDs, a 10-channel spectrometer, a microcontroller, and an adaptive design algorithm.
- semantic-kernel — Semantic Kernel Python SDK