Reverse Dependencies of GitPython

The following projects have a declared dependency on GitPython:

• ml4math — no summary
• mlaide — no summary
• mlbazaar — no summary
• mlbench-core — A public and reproducible collection of reference implementations and benchmark suite for distributed machine learning systems.
• mlcroissant — MLCommons datasets format.
• mlcvzoo-base — MLCVZoo Base Package
• mldev — mldev is a tool for running reproducible experiments
• mle-agent — MLE-agent: An agent to automate your MLE processes
• mle-monitor — Machine Learning Experiment Resource Monitoring
• mlem — Version and deploy your models following GitOps principles
• mlf-core — Reproducible machine learning pipelines using mlflow.
• mlfab — A collection of core machine learning tools
• mlflow-by-ckl — MLflow: A Platform for ML Development and Productionization
• mlflow-by-johnsnowlabs — MLflow: A Platform for ML Development and Productionization
• mlflow-by-johnsnowlabs-v2 — MLflow: A Platform for ML Development and Productionization
• mlflow-logger-ext — Using python decorator to manage MlFlow
• mlflow-saagie — MLflow: A Platform for ML Development and Productionization - forked for Saagie
• mlflow-skinny — MLflow is an open source platform for the complete machine learning lifecycle
• mlflow-ste — MLflow: An ML Workflow Tool
• mlflow-tmp — MLflow: A Platform for ML Development and Productionization
• mlforecast — Scalable machine learning based time series forecasting
• mlfoundry — Truefoundry's Experiment Tracking, Model Registry and Model Monitoring Library
• mlinfra — A tool to deploy mlops tooling at the click of a button.
• mllooper — Primitives for machine learning pipelines
• mlonmcu — This project contains research code related to the deployment of inferenceor learning applications on tiny micro-controllers.
• mlpype-mlflow — no summary
• mlrun — Tracking and config of machine learning runs
• mlspeclib — MLSpec helper library makes using metadata in ML workflows easier.
• mltrace — Lineage and tracing for ML pipelines
• MLXP — A framework for conducting machine learning experiments in python
• mmf — mmf: a modular framework for vision and language multimodal research.
• mngs — For lazy python users (monogusa people in Japanse), especially in ML/DSP fields
• moat-src — Tools for managing the MoaT sources
• moatless — no summary
• moatless-tree-search — no summary
• mob-tool — Mob session management tool
• mobile-aat-setup — A project that helps setting up the mobile AAT
• modal_or_local — Utilities for working with files and directories in modal volumes or the local filesystem
• modelos — An operating system for machine learning
• modelstore — modelstore is a library for versioning, exporting, storing, and loading machine learning models
• ModelTool — Python MaaS utility
• modularapi — A CLI Framework based on FastAPI and Typer using module-based architecture.
• modulename — this is a description
• monas — Python monorepo made easy
• mongo-tooling-metrics — A slim library which leverages Pydantic to reliably collect type enforced metrics and store them to MongoDB.
• monitapi — monitapi is something to monitor API(URL) by a serverless.
• monolithe — Monolithe is a sdk generator
• morph-data — Morph is a python-centric full-stack framework for building and deploying data apps.
• mosaic-common-utils — Utils library for Mosaic
• mosaic-env — MOSAIC environment command line utility (mosaic_env)
• mosaic-utils — Utils library for Mosaic
• mosaicml — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• mosaicml-streaming — Streaming lets users create PyTorch compatible datasets that can be streamed from cloud-based object stores
• motleycoder — A set of tools for building AI coders
• mozilla-bigquery-etl — Tooling for building derived datasets in BigQuery
• mozilla-jetstream — Runs a thing that analyzes experiments
• mozilla-jetstream-config-parser — Parses jetstream configuration files
• mozilla-metric-config-parser — Parses metric configuration files
• mozilla-schema-generator — Create full representations of schemas using the probe info service.
• mplug — A plugin manager for mpv
• mpyl — Modular Pipeline Library
• ms3 — A parser for MuseScore files, serving as data factory for annotated music corpora.
• msk — Mycroft Skills Kit
• msm — Mycroft Skills Manager
• mt-940 — A library to parse MT940 files and returns smart Python collections for statistics and manipulation.
• MT-diagrams — Thesis project
• mulecli — Script for executing automated tasks
• multicontentsmanager — Automatically version notebooks from JupyterLab
• multigit — Manages git repos within git repos.
• multirepo-manager — CLI to manage multiple git repositories in the same folder
• multitool — General-purpose command-line interface with plugins support
• murano-agent — Python Murano Agent
• mussels — Mussels Dependency Build Automation Tool
• mvn — mvn: nvm
• mw-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• mx-bluesky — Bluesky tools for MX Beamlines at DLS
• my-little-ocr — no summary
• mymongo — A Python package for effortless object-document mapping using pymongo and pydantic to interface with MongoDB.
• mypythontools-cicd — Some tools/functions/snippets used across projects.
• myTokenize — Comprehensive tokenization library for Myanmar language
• nagra-network-misc-utils — Miscelleanous utilities for pipeline management
• nagra-network-paloalto-utils — no summary
• nalcos — Search Git commits in natural language
• namekox-core — namekox core
• nanolayer — no summary
• napalm-toolbox — A tool to make working with security analysis tools a breeze
• napari — n-dimensional array viewer in Python
• naptha-sdk — no summary
• nat — Module to use the annotations created with NeuroCurator.
• nataili-blip — Nataili BLIP: A Python library for captioning images with BLIP
• nautilus-librarian — A Python Console application to handle media libraries like Git and DVC
• naver-core — A Core Ancestor Library
• navis — Neuron Analysis and Visualization library
• navvy — Automation tool for managing Git repositories with AI (OpenAI).
• nb-helpers — A set of tools for nb handling
• nb2workflow — convert notebook to workflow
• nba-analytics — A package for collecting and analyzing NBA player data.
• nbdime — Diff and merge of Jupyter Notebooks
• nbox — ML Inference 🥶
• nbreport — LSST's notebook-based report system.