Reverse Dependencies of dill

The following projects have a declared dependency on dill:

• learning-curves — Python module allowing to easily calculate and plot the learning curve of a machine learning model and find the maximum expected accuracy
• LeBot — A Multi-Purpose Discord Bot
• leftcorner — Implementation of the generalized left-corner transformation (Opedal et al. 2023), an efficient method for eliminating left recursion from context-free grammars, and many other utilities for working with context-free grammars.
• legion — Legion
• lhotse — Data preparation for speech processing models training.
• lib-platform — some platform related functions, which also work correctly on wine
• libfinance — libfinance
• libmogra — "A Python Toolbox for Indian (Classical) Music"
• libpyvinyl — The python API for photon and neutron simulation codes in the Photon and Neutron Open Science Cloud (PaNOSC).
• LibrarianFileManager — A librarian for managing your files: General purpose file management tools for initializing, keeping track of, and interacting with file structures e.g. for cataloging data, plotting of figures, etc.).
• libvisualwebarena — This is an unofficial, use-at-your-own risks port of the visualwebarena benchmark, for use as a standalone library package.
• liesel — A probabilistic programming framework with a focus on semi-parametric regression
• Lifetimes — Measure customer lifetime value in Python
• lightning-thunder — Lightning Thunder project.
• lightwood — Lightwood is Legos for Machine Learning.
• ligo — LIgO is a tool for simulation of adaptive immune receptors and repertoires.
• link.parallel — Parallel computing framework
• liquidbase — no summary
• lite-bo — Efficient and generalized blackbox optimization (BBO) system
• litestash — The LiteStash Python project offers a lightning-fast, lightweight key-value storage solution. LiteStash provides a NoSQL API for seamless integration into your applications. The LiteStash database handles the data with SQLite transparently. Optimal use for caching, session management, and other high-performance use cases.
• llm-datasets — A collection of datasets for language model training including scripts for downloading, preprocesssing, and sampling.
• llmcode-chat — Llmcode is AI pair programming in your terminal
• llmvm-cli — Command Line LLM with client-side tools support.
• lm-eval — A framework for evaluating language models
• lm-polygraph — Uncertainty Estimation Toolkit for Transformer Language Models
• lmfit — Least-Squares Minimization with Bounds and Constraints
• lmflow-benchmark — LMFlow: Large Model Flow.
• lmflow-deploy — LMFlow: Large Model Flow.
• lmflow-diffusion — LMFlow: Large Model Flow.
• lmflow-eval — LMFlow: Large Model Flow.
• lmflow-evaluate — LMFlow: Large Model Flow.
• lmflow-evaluator — LMFlow: Large Model Flow.
• lmflow-finetune — LMFlow: Large Model Flow.
• lmflow-finetuner — LMFlow: Large Model Flow.
• lmflow-inference — LMFlow: Large Model Flow.
• lmflow-inferencer — LMFlow: Large Model Flow.
• lmflow-pretrain — LMFlow: Large Model Flow.
• lmflow-pretrainer — LMFlow: Large Model Flow.
• lmflow-vision — LMFlow: Large Model Flow.
• localstack-core — The core library and runtime of LocalStack
• logitest — Automated test case generation tool for Python modules.
• lohrasb — This versatile tool streamlines hyperparameter optimization in machine learning workflows.It supports a wide range of search methods, from GridSearchCV and RandomizedSearchCVto advanced techniques like OptunaSearchCV, Ray Tune, and Scikit-Learn Tune.Designed to enhance model performance and efficiency, it's suitable for tasks of any scale.
• loman — Loman tracks state of computations, and the dependencies between them, allowing full and partial recalculations.
• LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
• LoopDataConverter — Loop GIS data conversion library for LoopStructural and Map2Loop
• LoopStructural — 3D geological modelling
• loris-log — Log library to establish communication with FTP server and AWS CloudWatch; as well as to publish log message to these platforms.
• lrservice — A python package for demonstrating how to make REST API service for linear regression
• ls2d — Python toolkit to downscale ERA5 with doubly-periodic large-eddy simulation
• luigine — no summary
• luis1996 — my description
• luisito1996 — my description
• luisito19963 — my description
• machin — Reinforcement learning library
• machinable — A modular configuration system for research projects
• machnamh — An ipywidgets based package for detecting bias in ML data and Models
• machnamh-unmakingyou — An ipywidgets based package for detecting bias in ML data and Models
• maestrowf — A tool to easily orchestrate general computational workflows both locally and on supercomputers.
• MagicSelection — feature selection method with support for combined features
• magictables — An advanced Python library designed to streamline data preparation and exploration for data scientists
• magLabUtilities — Commonly used utilities in the UC Denver magnetics lab.
• MaLeSMo — Machine Learning Standard Models
• malevich — no summary
• malort — JSON to Postgres Column Types
• MAMMOth-commons — Component interfaces of the MAMMOth fairness toolkit.
• mango-agents — Modular Python Agent Framework
• mango-agents-assume — Modular Python Agent Framework - Temporary Fork of mango for development purpose
• mapd — Package for applying MAP-D to your project
• mapdatasetgenerator — Map dataset generator for learning map representations and generation
• marcel — A modern shell
• mars-similarity-tools — no summary
• MarsGT — MarsGT: A Python library for rare cell identification (Internal testing only)
• mat_discover — Data-driven materials discovery based on composition or structure.
• matcha-dl — Matcha-DL is a tool for supervised ontology alignment. It takes as input two ontologies and a set of mappings between them, and learns a model that can predict mappings between the two ontologies.
• MathLang-Core — MathLang is a specially designed programming language for maths.
• maurice — Ship better machine learning projects, faster!
• mause-rpc — A dumb as hell rpc implementation built on rabbitmq
• mbot — Yet another Bot implemented in pure Python.
• mctc-hackathon-robot297 — Libraries to help with the MCTC Hackathon
• mdp-playground — A python package to design and debug RL agents
• mdsconnector — Remote call to MDSplus objects
• meafs — Multiple Element Abundance Fit Software
• mechanoChemML — A machine learning software library for computational materials physics
• mechmat — Python package for the definition of materials used during mechanical engineering calculations
• med-imagetools — Med-Imagetools: Transparent and Reproducible Medical Image Processing Pipelines in Python
• medcat — Concept annotation tool for Electronic Health Records
• media-organizer — This project will help you organize all of your medias, which means, basically, pictures and videos.
• medpc2excel — export medpc data to excel file and generate user defined variables
• medusa-kernel — Advanced biosignal processing toolbox
• meerkat-ml — Meerkat is building new data abstractions to make machine learning easier.
• meerschaum — Sync Time-Series Pipes with Meerschaum
• melodia-py — Differential Geometry of Proteins Backbones
• memex — Memex API client
• memexdata — Memex API client
• meta-ml — MetaRL-based Estimator using Task-encodings for AutoML
• metabotk — MetabolomicsToolKit (metabotk) is a Python library for working with metabolomics data. It provides a variety of tools and methods for importing, exploring, manipulating and analyzing metabolomics data.
• metabox — A multi-scale optimization framework for diffractive optical systems.
• metahyper — Parallelisation and distribution framework for neural pipeline search algorithms.
• metisse — A versatile and automated testing framework for games and apps on Android and iOS platforms
• MGSurvE — MGSurvE