Reverse Dependencies of dill

The following projects have a declared dependency on dill:

• 3lc — 3LC Python Package - A tool for model-guided, interactive data debugging and enhancements
• a-pandas-ex-dillpickle — Pickle pandas DataFrames without AttributeError: Can't pickle local object ...
• abacusutils — Python and C/C++ code to read halo catalogs and other Abacus N-body data products
• abcdrl — Modular Single-file Reinfocement Learning Algorithms Library
• Academic-Forecasting-System — no summary
• acb — Asynchronous Component Base
• accomate — Accoladez + Automate = Accomate
• achilles — Distributed/parallel computing in modern Python based on the multiprocessing.Pool API (map, imap, imap_unordered).
• acuity — no summary
• acuitypro — no summary
• acumos — Acumos client library for building and pushing Python models
• adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• adapters — A Unified Library for Parameter-Efficient and Modular Transfer Learning
• adaptive — Parallel active learning of mathematical functions
• adaptive-scheduler — Run many `adaptive.Learner`s on many cores (>10k) using `mpi4py.futures`, `ipyparallel`, `dask-mpi`, or `process-pool`.
• adasamp-pareto — Adaptive bayes-sampling for multi-criteria optimization
• aepsych — Adaptive experimetation for psychophysics
• aether — Welcome to the Aether Platform
• aga — aga grades assignments
• agent0 — Agent interface for on-chain protocols.
• agentos — AgentOS is a command line interface and python developer API for building, running, and sharing flexible learning agents.
• agilerl — AgileRL is a deep reinforcement learning library focused on improving RL development through RLOps.
• ai-flow — An open source framework that bridges big data and AI.
• ai-flow-nightly — An open source framework that bridges big data and AI.
• ai2-tango — A library for choreographing your machine learning research.
• AIArena — AIArena beta
• aiida-pyscf — AiiDA plugin for the Python-based Simulations of Chemistry Framework (PySCF).
• aiida-shell — AiiDA plugin that makes running shell commands easy.
• aimodelshare — Deploy locally saved machine learning models to a live rest API and web-dashboard. Share it with the world via modelshare.org
• aiocacher — Python asyncio caching decorator backed by a Redis server or cluster.
• aiqc — End-to-end machine learning on your desktop or server.
• airbyte-cdk-PHLAIR — A framework for writing Airbyte Connectors.
• airbyte-source-s3 — Source implementation for S3.
• aistnet — AistNET is a framework for simplifying the creation and training of neural networks
• aladindb — 🔮 Super-power your database with AI 🔮
• algorin-cli — Acceso a GPT-3 y procesamiento de documentos desde la línea de comandos.
• alibi — Algorithms for monitoring and explaining machine learning models
• alibi-detect — Algorithms for outlier detection, concept drift and metrics.
• aligned — A data managment and lineage tool for ML applications.
• all2vec — Store and compare high dimensional vectors
• allennlp — An open-source NLP research library, built on PyTorch.
• alo7-airflow — Programmatically author, schedule and monitor data pipelines
• ameise — Dev-Kit for AMEISE dataset
• amisc — Adaptive multi-index stochastic collocation (surrogates) for metamodeling of multidisciplinary systems
• animal-classification — classification of animals using machine learning models
• ansys-additive-core — A Python client for the Ansys Additive service
• ansys-pyensight-core — A python wrapper for Ansys EnSight
• anuga — A set of python modules for tsunami and flood modelling
• anycache — Cache any python object to file using improved pickling
• anyfig — Create modular and scaleable configurations at runtime
• apache-airflow — Programmatically author, schedule and monitor data pipelines
• apache-airflow-zack — Programmatically author, schedule and monitor data pipelines
• apache-beam — Apache Beam SDK for Python
• apache-beam-ai2 — A FORK! for testing with different dill version
• api2db — Python Api data collection tool
• aplusml — Conduct usefulness simulations of ML models embedded in workflows
• apollinaire — Module for helio- and asteroseismic data analysis
• apteryx-transformers — no summary
• apu — Antons Python Utilities
• AqEquil — Python tools for aqueous chemical speciation.
• AQMLator — A package for auto quantum machine learning-izing your experiments!
• aquariumlearning — Aquarium Learning Python Client
• arborize — Write descriptions for NEURON cell models in an Arbor-like manner for both the Arbor and
• ark-analysis — Toolbox for analysis on segmented images from MIBI.
• ark-sdk-python — Official Ark SDK / CLI for CyberArk Identity Security Platform
• arthurai — Arthur Python SDK
• artur-qiskit-terra — Software for developing quantum computing programs
• AstroSubtractor — Machine learning classifier
• async-mvg-api — no summary
• atksh-utils — atksh's utils
• atom-ml — A Python package for fast exploration of machine learning pipelines
• auto_ml — Automated machine learning for production and analytics
• autoarray — PyAuto Data Structures
• AutoEis — A tool for automated EIS analysis by proposing statistically plausible ECMs.
• autofit — Classy Probabilistic Programming
• autogenes — Automatic Gene Selection for Bulk Deconvolution
• autogl — AutoML tools for graph-structure dataset
• autogoal — Automatic Generation Optimization And Learning
• automl — Automated machine learning for production and analytics
• automl-infrastructure — AutoML Infrastructure.
• autonn — Configurable deep neural networks for neural architecture searchand hyper-parameter tuning; Cloud deployment of DNN models
• autora-core — Autonomous Research Assistant (AutoRA) is a framework for automating steps of the empirical research process.
• autora-workflow — Workflow tools for the Autonomous Research Assistant (AutoRA) package.
• autotm — Automatic hyperparameters tuning for topic models (ARTM approach) using evolutionary algorithms
• avalanche-lib — Avalanche: a Comprehensive Framework for Continual Learning Research
• ax-env — dependency manager for XENONnT package
• azureml-automl-runtime — Contains the ML and non-Azure specific common code associated with running AutoML for public use.
• azureml-model-management-sdk — Microsoft Azure Machine Learning Python SDK for authoring web services
• azureml-training-tabular — Contains ML models, featurizers and scoring code which can either be used with AutoML or standalone.
• azureml-webservice-schema — azureml webservice schema
• azuremlftk — "Microsoft Azure Machine Learning Forecasting Toolkit"
• backprop — Backprop
• bahasakitasemua — Bahasa Kita Engineer Recruitment Test Repository
• ballet — Core functionality for lightweight, collaborative data science projects
• balsam — HPC Workflows & Edge Service
• basic-functions — very basic functions for data pre-processing and visualization
• batchflow — A framework for fast data processing and ML models training
• bayes-optim — A Bayesian Optimization Library
• bear-model — Python package implementing the BEAR generative sequence model.
• benchbuild — This is the experiment driver for the benchbuild study