Reverse Dependencies of dill

The following projects have a declared dependency on dill:

• rats-pipelines — Rats Pipelines
• rats-processors — Rats Processors
• raynest — raynest: Parallel nested sampling based on ray
• reactives — A declarative reactive programming framework.
• reactord — Package for the simulation and design of chemical reactors
• reactpy-django — It's React, but in Python. Now with Django integration.
• readet — This patch includes several improvement to RAGs, summarizers, downloders and retrievers; plus compatibility for windows installation
• realsense-copilot — RealSense Copilot is AI programming for Intel RealSense cameras in your terminal
• realtime-client — no summary
• rebase-toolkit — Rebase Python toolkit
• redis-pal — Store things in Redis without worrying about types or anything, just do it!
• redmind — Package for building Machine learning models
• RefactoringIdioms — code refactorings with Python idioms
• regelum-control — Regelum is a flexibly configurable framework for agent-environment simulation with a menu of predictive and reinforcement learning pipelines.
• regularizepsf — Point spread function modeling and regularization
• regulon-enrichment — This package leverages pathway information and gene expression data to produce regulon-based protein activity scores
• ReiL — no summary
• remote-compression — rcomp helps to perform x265 video compression on remote server.
• remotejob — Run python functions in a remote docker container
• remotemanager — remote run management tool
• renku-lock — Python SDK and CLI for the Renku platform. lock package
• repype — Reproducible batch processing using pipelines for scientific computing.
• reservoirpy — A simple and flexible code for Reservoir Computing architectures like Echo State Networks.
• reservoirpy-fbessou — A simple and flexible code for Reservoir Computing architectures like Echo State Networks.
• rex-lib — Robotic Environments with jaX (REX)
• riddle — Python library for encryption
• rising — no summary
• riverapi — Python client for interacting with online-ml river server
• rlberry — An easy-to-use reinforcement learning library for research and education
• rmsp — Resource management system for python
• rnaglib — RNAglib: Tools for learning on the structure of RNA using 2.5D geometric representations
• rnl — RNL - Robot Navigation Learning
• robbie — Run experiments on the Robbie Cloud
• robbytorch — Cool package for robust AI
• robobo-emotion — Librería para detectar emociones en imágenes y audio usando Robobo
• robot-chat — RobotChat is AI robotics programming in your terminal
• RoboticsLanguage — The Robotics Language
• robustness — Tools for Robustness
• robustnessgym — Robustness Gym is an evaluation toolkit for machine learning.
• rocketPy — Advanced 6-DOF trajectory simulation for High-Power Rocketry.
• roiextractors — Python module for extracting optical physiology ROIs and traces for various file types and formats
• rolldecay-estimators — A template for scikit-learn compatible packages.
• rookify — Enable Ceph-Cluster migrations to Rook
• route — Python library for interacting with the file system
• rrt-ml — Rapidly exploring random trees with machine learning
• rrtools — Raster Restoration tools
• rs232-to-pdu — Converts RS232 serial data to SNMP commands to control PDUs.
• rs232-to-tripplite-pdu — no summary
• rstojnic-tfds-nightly — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• rtm-fast — A fast unification ds code package
• rul-pm — Remaining useful life estimation utilities
• runforrest — Batch and run your code in parallel. Simply.
• runml-infuse — Algorithms for outlier detection, concept drift and metrics.
• runnable — Add your description here
• runtime-client — Model Server implementation for AI Runtime.
• RusticML — A simple machine learning framework
• rvtools-python — Simple app to collect information from vSphere
• rx-scripts — Generic utilities for data analysis
• safeserializer — Hopefully safe and deterministic serializer to binary format, including Pandas data
• sagemode — Deploy, scale, and monitor your ML models all with one click. Native to AWS.
• sail — Python package for streaming data and incremental learning
• salesforce-merlion — Merlion: A Machine Learning Framework for Time Series Intelligence
• sallron — Collected data middleware for DB.
• sameproject — Notebooks to Pipelines, reproducible data science, oh my.
• sammo — A flexible, easy-to-use library for running and optimizing prompts for Large Language Models (LLMs).
• sampo — Open-source framework for adaptive manufacturing processes scheduling
• sasctl — SAS Viya Python Client
• saturn-notebook — Plain-text Python notebooks with checkpointing
• save-load-vars — Save and load vars, functions ...
• scabha — Parameter validation, substitution, configuration and other onboard services for Stimela
• scalable — Assist with running models on job queing systems like Slurm
• scalems — Reference implementation of the SCALE-MS data flow scripting and graph execution API for molecular science computational research protocols.
• sccross — Single cell multi-omics cross modal generation, multi-omics simulation and perturbation
• scdna-replication-tools — Code for analyzing single-cell replication dynamics
• scenic — The Scenic scenario description language.
• scglue — Graph-linked unified embedding for unpaired single-cell multi-omics data integration
• schedula — Produce a plan that dispatches calls based on a graph of functions, satisfying data dependencies.
• schwimmbad — A common interface for parallel processing pools.
• scidb-strm — Python library for SciDB streaming
• sciris — Fast, flexible tools to simplify scientific Python
• score-card-model — Risk Score Card Model
• ScoreCardModel — simple tools for score card model
• scorecardpipeline — 评分卡pipeline建模包，封装toad、scorecardpy、optbinning等评分卡建模相关组件，API风格与sklearn高度一致，自持自定义模型报告输出
• 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.
• scqubits — scqubits: superconducting qubits in Python
• sea-urchin — The Electrolyte Machine is a set of Python tools to post-process trajectories from AIMD, MD and metadynamics simulations.
• sealion — SeaLion is a comprehensive machine learning and data science library for beginners and ml-engineers alike.
• seaqube — Semantic Quality Benchmark for Word Embeddings, i.e. Natural Language Models in Python. The shortname is `SeaQuBe` or `seaqube`. Simple call it '| ˈsi: kjuːb |'
• SEAVE — Python package for a synthetic EAVE
• seclea-ai — Seclea integration.
• SEDkit — Spectral energy distribution construction and analysis tools
• seeme — No-Code/Low Code AI Platform: Innovate. Integrate. Iterate.
• segfast — A library for interacting with SEG-Y seismic data
• segmentation-lib — Library for images segmentation
• segmentationextractors — Python module for extracting optical physiology ROIs and traces for various file types and formats
• seisflows — An automated workflow tool for full waveform inversion
• seismicutils — no summary
• sema-toolchain — Python symbolic execution package
• semtagger — SEM tool for text annotation
• semvergit — Manage your project's version numbers.