Reverse Dependencies of graphviz
The following projects have a declared dependency on graphviz:
- lattice-graph-manipulation — no summary
- learnml — LearnML is a Python module for Machine Learning and Deep Learning.
- 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.
- lib310 — lib310 Python Package
- liblet — A teaching aid library for formal languages and compiler courses.
- light-deep-ai — Light AI tools developed by Gang Zhang
- lightning-flash — Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes.
- lightning-thunder — Lightning Thunder project.
- lineapy — Data engineering, simplified. LineaPy creates a frictionless path for taking your data science artifact from development to production.
- lingam — LiNGAM Python Package
- linkml — Linked Open Data Modeling Language
- linuxns-rel — Linux namespace relationships library
- littledarwin — LittleDarwin Mutation Analysis Framework
- logo-diagram-generator — Generate SVG diagrams of a (tech) ecosystem, using logos from each tool organised into groups around a central logo
- logtalk-jupyter-kernel — Hercutalk - A Jupyter Kernel for Logtalk
- 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.
- lolipop — A set of scripts to cluster mutational trajectories into genotypes and infer lineage in the context of population evolution experiments.
- LongTermBiosignals — Python library for easy managing and processing of large Long-Term Biosignals.
- lrmatrix — Logic Rules Matrix package to support the ExMatrix and VAX methods.
- lsha — Automata Learning Algorithm for Stochastic Hybrid Automata
- LUBEAT — This package contains several methods for calculating Conditional Average Treatment Effects
- luigi-tools — Tools to work with luigi.
- lux-explainer — Universal Local Rule-based Explainer
- LZBEAT — This package contains several methods for calculating Conditional Average Treatment Effects
- m4-utils — Biblioteca com funções de uso comum em projetos de aprendizado de máquina e ciencia de dados.
- mach2 — Migration Analysis of Clonal History 2
- machine-learning-tools — Utility functions for sklearn and other machine learning utilities
- macq — Action model acquisition from state trace data.
- magma-lang — An embedded DSL for constructing hardware circuits
- majora — Majora is a python library that automates common tasks in your exploratory data analysis.
- makefile2dot — Create a graphviz graph of a Makefile.
- malloctag-tools — Utility to postprocess malloc-tag JSON snapshots
- mammut-py — Mammut framework is an open library for computational linguistics.
- MAPSDT — MAPS Decision Tree
- maquinas — Formal languages and automata library
- mara-db — Configuration and monitoring of database connections
- mara-pipelines — Opinionated lightweight ELT pipeline framework
- mara-schema — Mapping of DWH database tables to business entities, attributes & metrics in Python, with automatic creation of flattened tables
- maraudersmap — Fast generation of Inports graph
- markov-solver — Utility to solve Markov chains.
- matchpy — A library for pattern matching on symbolic expressions.
- math-spec-mapping — A library for easy mapping of mathematical specifications.
- maxframe — MaxFrame operator-based data analyze framework
- mayan-edms — Free Open Source Electronic Document Management System
- mcda — Package for Multi Criteria Decision Analysis
- mchmm — Markov chains and Hidden Markov models
- mdml — Application of Deep learning on molecular dymanamics trajectories
- mealy — Model Error Analysis python package
- melpoi — no summary
- memory-graph — Draws a graph of your data to analyze its structure.
- merlinxai — MERLIN
- mesmerize — Calcium imaging analysis platform
- mesoscopy — Analysis pipeline for rodent widefield calcium imaging data.
- metabeyond — Metadata for Python
- metagraph — Graph algorithm solver across multiple hardware backends
- metapipeline — test multiple parameters for complexe pipeline
- metient — no summary
- metricflow — Translates a simple metric definition into reusable SQL and executes it against the SQL engine of your choice.
- metricflow-lite — Lite version of MetricFlow. This version is missing dependencies for using connectors with data warehouses
- mf-manifest-tools-simple — MF Manifest Tools Simple
- microdegree-management — no summary
- micrograd2023 — micrograd2023 was developed based on Andrej Karpathy micrograd with added documentations using nbdev for teachning purposes
- micronets — A simple autograd engine along with a PyTorch/Tensorflow like API module to easily train neural nets
- MicroRegEx — A micro regular expression engine
- mig-meow — MiG based manager for event oriented workflows
- mikado-graph — Python tool to draw graphs for Mikado refactoring
- milligrad — Basic neural network library
- minimata — Minimata is a minimalist state-machine implementation.
- misso — Python package to compute mutual information matrix
- MiV-OS — Python software for analysis and computing framework used in MiV project.
- ml-express — A Python library for day to day data analysis and machine learning.
- ML-Navigator — ML-Navigator is a tutorial-based Machine Learning framework. The main component of ML-Navigator is the flow. A flow is a collection of compact methods/functions that can be stuck together with guidance texts.
- ml4pd — ML4PD - an open-source libray for building Aspen-like process models via machine learning.
- mlblocks — Pipelines and primitives for machine learning and data science.
- mlconfound — Tools for analyzing and quantifying effects of counfounder variables on machine learning model predictions.
- mlduct — A personal framework for Machine Learning Pipelines.
- mlonmcu — This project contains research code related to the deployment of inferenceor learning applications on tiny micro-controllers.
- mlrun — Tracking and config of machine learning runs
- mmodel — Modular modeling framework for scientific modeling and prototyping.
- MNN-FMA — C methods for MNN Package
- mobilenn — nn light
- modeci-mdf — ModECI (Model Exchange and Convergence Initiative) Model Description Format
- moderne-visualizations-misc — Miscellaneous visualizations for the Moderne platform
- modlog — ('Set logger with logging/colorlog automatically',)
- mona — Calculation framework
- mondobrain — MondoBrain API wrapper
- moodools — Moodools: tools for Odoo modules development
- morai — A mortality viewer
- morphology-workflows — Workflows used for morphology processing.
- mosromgr — Python library for managing MOS running orders
- most-queue — Software package for calculation and simulation of queuing systems
- mpdfg — Package for multi perspective DFG visualization
- mqt.ddsim — A quantum simulator based on decision diagrams written in C++
- msfc-ccd — A Python library for characterizing and using the CCD cameras developed by Marshall Space Flight Center.
- muller — A set of scripts to cluster mutational trajectories into genotypes and cluster genotypes by background
- multi-vector-simulator — Multi-vector Simulation Tool assessing and optimizing Local Energy Systems (LES) for the E-LAND project
- multicons — MultiCons (Multiple Consensuses) algorithm
- multilevel-py — A python framework simplifying the representation of deep domain classification hierarchies
- mumot — Multiscale Modelling Tool
- mungo — Quick environment solver