Reverse Dependencies of jupyter
The following projects have a declared dependency on jupyter:
- chatnoir-pyterrier — Use the ChatNoir search engine in PyTerrier.
- checkpoint-schedules — Schedules for incremental checkpointing of adjoint simulations.
- chemkinlib11 — Chemical kinetics code
- ChemScraper — Scraping chemical vendors for pricing/availability info.
- cherwell-pydantic-api — A pythonic, asyncio connector for the Cherwell CSM API with full usage of Pydantic 2 types
- chi-drm — Package to model dose response dynamics
- chicken-coop — An environment for reproducing dominance hierarchies in RL agents
- chickenstats — A Python package for scraping & analyzing sports statistics
- chirho — Causal reasoning
- chisel-nbdev — Port of nbdev to write SCALA / chisel library entirely in notebooks
- choochoo — Data Science for Training
- chromatix — Differentiable computational optics library using JAX!
- Chronix2Grid — A python package to generate "en-masse" chronics for loads and productions (thermal, renewable)
- cipred — Non-parametric error prediction with random forest model.
- circumplex — A Python package for analyzing and visualizing circumplex data
- cirrus-ngs — Cloud-optimized primary analysis pipelines for RNA-seq, miRNA-seq, ChIP-seq, and variant calling in whole-genome/whole-exome DNA-seq
- civilpy — Civil Engineering Tools in Python
- clairvoyance2 — clairvoyance2: a Unified Toolkit for Medical Time Series
- classroom-extensions — IPython extensions used for teaching
- classypandas — Quickly annotate/label your data using jupyter widgets and pandas.
- clean-py — no summary
- cleanliness — Basic cleaning of text
- climdex-kit — Tool for multi-scenario calculation, publishing, and analysis of indices from 3D time-series of climate projections.
- clinc — Cell Lineage from Normalized Covariance
- clophfit — Cli for fitting macromolecule pH titration or binding assays data e.g. fluorescence spectra.
- cloud-io — Handle I/O from cloud buckets
- cml-pam — The Population activity Modeller (PAM) is a python API for activity sequence modelling.
- cnewtonprop — Cython implementation of the Newton propagator for QuTiP Qobjs
- CNTools — A package for identifying cellular neighborhoods
- coastalimagelib — Package for creating coastal image products.
- coax — Plug-n-play reinforcement learning with Gymnasium and JAX
- cobaya-utilities — A set of functions to deal with MCMC output from cobaya
- coconut — Simple, elegant, Pythonic functional programming.
- coconut-develop — Simple, elegant, Pythonic functional programming.
- code-context — no summary
- codegraph-agent — no summary
- codeium-jupyter — no summary
- cogment_lab — no summary
- cognite-dqfuns — Collection of python algorithms to evaluate data quality in CDF timeseries and assets
- colab-xterm — Open a terminal in colab, including the free tier.
- colabseg — Colab Seg
- colav — Calculate protein structural representations (dihedral angles, CA pairwise distances, and strain analysis) for downstream analysis (e.g., PCA, t-SNE, or UMAP)
- colorizexl — Colorize and recolorize large images
- coltra — Coltra is a simple moddable RL algorithm implementation
- coltra-rl — Coltra-RL is a simple moddable RL algorithm implementation
- CometTS — Time series trend analysis tools for user defined polygons in any time series of overhead imagery
- commonocean-drivability-checker — Drivability checker for CommonOcean scenarios.
- commonpower — A package for the exploration of safe single/multi-agent reinforcement learning in smart grids.
- community-learning — A poc for learning in a community.
- compas-notebook — A COMPAS data (structures) and geometry viewer for Jupyter notebooks.
- compfs — Composite Feature Selection using Deep Ensembles
- compiler-magics — Distributing a custom cell magic to do compilation
- composed-trackers — Trackres adapters and interfaces
- composeml — a framework for automated prediction engineering
- composer — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
- compressai — A PyTorch library and evaluation platform for end-to-end compression research
- conanpro — Concept for Analytics Processing
- concrete-ml-extensions-brevitas — Quantization-aware training in PyTorch
- concrete-strength-prediction — Concrete Strength
- connar-package — no summary
- conspiracies — Discover and examine conspiracies using natural language processing
- constrainedlr — Constrained Linear Regression with sklearn-compatible API
- context-probing — no summary
- continuedfractions — Object-oriented continued fractions with Python.
- convml-tt — Neural Network based study of convective organisation
- cookiecutter-cruft-poetry-tox-pre-commit-ci-cd-instance — Cookiecutter Cruft Poetry Tox Pre Commit Ci Cd Instance
- coolbox — Jupyter notebook based genomic data visulization toolkit.
- coordinator-data-tasks — A python-based command line utility to automate some of the most common data tasks faced by the Clinical Coordinators.
- copulas — Create tabular synthetic data using copulas-based modeling.
- corebridge — Bridge for Stactics AICore
- corradin-opioid-project — no summary
- coxeter — Tools for creating and manipulating shapes.
- cpa-tools — Compositional Perturbation Autoencoder (CPA)
- cpge — Fonctions pour le cours d'informatique commune en CPGE
- croissant-sim — CROISSANT: Rapid spherical harmonics-based simulator of visibilities
- crowdnalysis — Library to help analyze crowdsourcing results
- ctapipe — Event reconstruction framework for Imaging Atmospheric Cherenkov Telescopes developed for CTAO.
- ctc-chroma — CTC-based chroma feature exractors
- ctdcal — CTD and bottle data processing package from UCSD ODF
- ctdna — ctdna computes the expected tumor detection size at a given sampling frequency.
- CTPreprocessing — First preprocessing on input dicoms
- cuhk-seis — package for earthquake location purpose
- CurriculumAgent — CurriculumAgent is a cleanup and improved version of the NeurIPS 2020 Competition Agent by Binbinchen.The agent is build to extract action sets of the Grid2Op Environment and then use rule-based agent to train a Reinforcement Learning agent.
- curve-fits — Curve fitting with scipy.optimize - fit computation time series
- custom-bgr — Customized background removal app
- cvapipe-analysis — Analysis pipeline usinf in Integrated intracellular organization and its variations in human iPS cells
- cvasl — A package for analysis of MRI
- cyclicityanalysis — Performs Cyclicity Analysis on A Collection of Time-Series
- cyfi — Estimate cyanobacteria density in small, inland water bodies using Sentinel-2 satellite imagery.
- CyRK — Runge-Kutta ODE Integrator Implemented in Cython and Numba.
- cytocluster — A package for clustering high-dimensional cytometry data in Python.
- d2l — Dive into Deep Learning
- d2lbook — Create an online book with Jupyter Notebooks and Sphinx
- DA-DAPPER — DAPPER benchmarks the performance of data assimilation (DA) methods.
- dacapo-ml — Framework for deployment of volumetric machine learning models, and easy composition of training jobs.
- dacy — A Danish pipeline trained in SpaCy that has achieved State-of-the-Art performance on all dependency parsing, NER and POS-tagging for Danish
- dallinger — Laboratory automation for the behavioral and social sciences
- damagescanner — Direct damage assessments for natural hazards
- dapper — DAPPER benchmarks the performance of data assimilation (DA) methods.
- darkgreybox — DarkGreyBox: An Open-Source Data-Driven Python Building Thermal Model Inspired By Genetic Algorithms and Machine Learning