Reverse Dependencies of dill

The following projects have a declared dependency on dill:

• mhagenta — MHAgentA allows you to design and run simulations with containerized Modular Hybrid Agents.
• MicroLIA — Machine learning classifier for microlensing
• middleware2mysql — use kafka and redis by mysql
• mimir-ai — no summary
• minibatch — Python stream processing for humans
• minimagen — Minimal Imagen text-to-image model implementation.
• miniperscache — miniperscache is a small Python library for persistent caching of function results.
• minitrade — A personal automated trading system
• minmlst — Machine-learning based minimal MLST scheme for bacterial strain typing
• mipego — Mixed Integer Parallel - Efficient Global Optimization with GPU support
• mippy — Modular Image Processing in Python
• miso — Python scripts for training CNNs for particle classification
• miso2 — Python scripts for training CNNs for particle classification
• mitosis — Reproduce Machine Learning experiments easily
• Mizar — Official API for the MizarAI platform
• mk-feature-store — Python SDK for Feast
• ml-dash — A Beautiful Visualization Dashboard For Machine Learning
• ml-extra — no summary
• ml-logger — no summary
• ml-report — Automated reporting for training and evaluating Machine Learning models
• ml4a — A toolkit for making art with machine learning, including an API for popular deep learning models, recipes for combining them, and a suite of educational examples
• mlbench-core — A public and reproducible collection of reference implementations and benchmark suite for distributed machine learning systems.
• mldev — mldev is a tool for running reproducible experiments
• mlem — Version and deploy your models following GitOps principles
• mlinnate — Innate stands for Integrated Neural Network Automatic Trainer and Evaluator
• mljet — minimalistic ML-models auto mljetnt tool
• mlkits — Common tools and training models for machine learning.
• mllaunchpad — Deploy Machine Learning Solutions with Ease
• mlModelSaver — Make life easier for saving and serving ML models
• mloperations — A framework for conducting MLOps.
• mlops-ods — no summary
• mlpl — A data science pipeline tool to speed up data science life cycle.
• mlpro — MLPro - The Integrative Middleware Framework for Standardized Machine Learning
• mlpype-sklearn — no summary
• mlrunner — A light-weight script for maintaining a LOT of machine learning experiments.
• mlte-python — An infrastructure for machine learning test and evaluation.
• mlwiz — Machine Learning Research Wizard
• MLXP — A framework for conducting machine learning experiments in python
• mmanalysis — MultiModalAnalysis is a package to easily postprocess GIWAXS data.
• mmcore — mmcore
• mmodes — Metabolic Models based Ordinary Differential Equations Simulation
• mocca — MOCCA (Multivariate Online Contextual Chromatographic Analysis) is an open-source Python project to analyze HPLC–DAD raw data.
• mocker-db — A mock handler for simulating a vector database.
• modelbase2 — A package to build metabolic models
• molab-ext — molab extension
• moldrug — moldrug is a python package for drug-oriented optimization on the chemical space.
• molgroups — Molecular Modeling for Scattering Data Analysis
• monapipe — MONAPipe provides natural-language-processing tools for German, implemented in Python/spaCy.
• monitaur — Monitaur Client Library
• morpheus-core — A framework for scaling pixel-level analysis to large images
• morpheus-spatial — no summary
• morphodynamics — Cell segmentation and windowing
• mortuary — no summary
• mote-praekelt — Mote - the pattern library framework.
• mpi_map — Tools running parallel processes
• mpimap — Parallel function mapping using mpi4py
• mpipool — Implementation of the futures and multiprocessing Pool interfaces based on MPI.
• mplfig — Save and load matplotlib figures like MATLAB's .fig files!
• mr-uplift — Machine learning tools for uplift models
• mrx-link-core — A simple AI/ML modeling tool, Link™ ensures a smoother flow and a better experience throughout the model development cycle.
• ms-deisotope — Access, Deisotope, and Charge Deconvolute Mass Spectra
• mtmtool — imutum's tool packages
• mu-alpha-zero-library — Library for running and training MuZero and AlphaZero models.
• muDIC — A digital image correlation toolkit
• multilearn — Multi-task learning with Pytorch.
• multiprocca — Enables multiprocessing with caching, eliminating the need for __main__, and ensuring unique results without duplicates
• multiprocess — better multiprocessing and multithreading in Python
• multiprocessing-wrap — Elegant multiprocessing without the boilerplate and confusing syntax
• multiprocnomain — multiprocessing without __main__
• muuusiiik — simple utilities
• muvi — MuVI: A multi-view latent variable model with domain-informed structured sparsity for integrating noisy feature sets.
• mvesuvio — Analyse Vesuvio instrument data
• mw-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• mynacode — no summary
• mystic — constrained nonlinear optimization for scientific machine learning, UQ, and AI
• myz-tools — Python helper tools
• mzcn — matchzoo-py的中文语料改造版本，更合适搭建中文语料的深度学习匹配模型
• nbcheckmate — Small package to test code inside a jupyter notebook
• nclick — Code for Laziness.
• nctoolkit — A Python package for netCDF analysis and post-processing
• negmas — NEGotiations Managed by Agent Simulations
• NehorayRapid — Rapid base tools package
• NehorayRapid1 — Rapid base tools package
• neo-cli — A NEO command line tools
• neograd — A deep learning framework created from scratch with Python and NumPy
• Netbase — Netbase : Wikidata World Graph
• netcdfella — Netcdfella is providing multiple ways to convert netcdf filed into other data types such as ASCII, PNG and JPG, and even create graphs.
• neuro — Python client for using npu api
• neurodiffeq — A light-weight & flexible library for solving differential equations using neural networks based on PyTorch.
• neuroflex — An advanced neural network framework with interpretability, generalization, robustness, and fairness features
• neurokernel — An open architecture for Drosophila brain emulation
• neuromancer — Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularization
• NeuroVisKit — NeuroVisKit
• nheri-simcenter — NHERI SimCenter Python Dependencies
• nhkv — Library for simple key-value storage
• NiChart-Viewer — Viewer to visualize neuroimaging chart (NiChart) image descriptors and biomarkers
• nimblebox — ML Inference 🥶
• nlp — HuggingFace/NLP is an open library of NLP datasets.
• nlp-uncertainty-zoo — PyTorch Implementation of Models used for Uncertainty Estimation in Natural Language Processing.
• nlpstack — Modules for NLP