Reverse Dependencies of distributed
The following projects have a declared dependency on distributed:
- datacube-alchemist — Batch process Open Data Cube datasets
- dataflow-gegham-test — Snark Hub
- dedl-stack-client — Python client for DEDL Stack services
- deepsensor — A Python package for modelling xarray and pandas data with neural processes.
- dehb — Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization
- detectorcal — Ring artefact suppression in X-ray CT using pixel-wise linear correction
- devito — Finite Difference DSL for symbolic computation.
- dexp — Light-sheet Dataset EXploration and Processing
- diego — Diego: Data IntElliGence Out.
- disko — Discrete Sky Operator (DiSkO) Aperture Synthesis Radio Imaging
- distrunner — This library allows for the easy construction and management of Dask clusters.
- divina — Package for causal, scalable forecasting
- Djaizz — Artificial Intelligence (AI) in Django Applications
- dlio-profiler-py — I/O profiler for deep learning python apps. Specifically for dlio_benchmark.
- dp-xgboost — DP-XGBoost Python Package from Sarus
- dzdata — Object and dataset saved as a directory or zipfile
- edu-airflow — Programmatically author, schedule and monitor data pipelines
- ENPMDA — parallel analysis for ensemble simulations
- enstools — no summary
- epivizFileServer — A python library to interact, explore and compute data directly from genomic files.
- ESMValTool — ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP.
- espei — Fitting thermodynamic models with pycalphad.
- evnrg — EVNRG is an EV electrical demand simulation package that takes in trip data and turns it into useful energy data given a set of assumptions.
- exabyte — Distributed learning.
- executor-engine — Package for manage job executions.
- executor-http — HTTP Server and Client for executor.
- faim-ipa — Tools used at FMI-FAIM for Image Processing and Analysis.
- fairbench — Fairness model assessment framework
- fantasy-analysis — Library for doing analysis on a fantasy basketball league
- fars-cleaner — A package for loading and preprocessing the NHTSA FARS crash database
- featuretools — a framework for automated feature engineering
- featuretools-MV — a framework for automated feature engineering
- featurewiz — Select Best Features from your data set - any size - now with XGBoost!
- fedot-ind — Time series analysis framework
- fibsem-tools — Tools for processing FIBSEM datasets
- flowi — no summary
- flowsaber — A dataflow based workflow framework
- forml — A development framework and MLOps platform for the lifecycle management of data science projects.
- fsspec — File-system specification
- fvgp — Python package for highly flexible function-valued Gaussian processes (fvGP)
- gators — Model building and model scoring library
- geofabrics — A package for creating geofabrics for flood modelling.
- glide — Easy ETL
- gordias — A core project for climate data handling
- gpcam — gpCAM is a code for autonomous data acquisition
- gpm-api — Python Package for the Global Precipitation Measurement (GPM) Mission Data Archive
- graphviper — Astro Visibility and Image Parallel Execution Reduction
- greenguard — AutoML for Renewable Energy Industries.
- hepaccelerate — Fast kernels for analyzing jagged columnar data common in high-energy physics.
- hgdl — HGDL Optimization
- hidebound — A MLOps framework for generating ML assets and metadata.
- HighGeoX — provides utilities to deal with large geospatial Datasets and provides functions for Fast computation of NDVI and MNDVI indces,
- histomicstk — A Python toolkit for Histopathology Image Analysis
- hub-dataflow — Snark Hub
- hybridq — Hybrid Simulator for Quantum Circuits
- hypergbm — A full pipeline AutoML tool integrated various GBM models
- hypernets — An General Automated Machine Learning Framework
- hypycube — HyPyCube framework
- icenet — Library for operational IceNet forecasting
- idact — A library that takes care of several tedious aspects of working with big data on an HPC cluster.
- imaxt-mosaic — Image stitching
- infretis — Infinite swapping parallel RETIS
- jmetalpy — Python version of the jMetal framework
- kslhub — klshub - a datahub based on jupyterhub
- lazycluster — Distributed machine learning made simple.
- lddl — Language Datasets and Data Loaders for NVIDIA Deep Learning Examples
- leap-ec — A general purpose Library for Evolutionary Algorithms in Python.
- lib310 — lib310 Python Package
- lib310-lite — lib310 Lite Python Package
- libertem — Open pixelated STEM framework
- lilacai — Organize unstructured data
- llyr — micromagnetic post processing library
- lp-Aicloud — this a aicloud
- ltldoorstep — Doorstep: Project Lintol validation engine
- luis1996 — my description
- luisito1996 — my description
- luisito19963 — my description
- lys-python — Interactive multi-dimensional data analysis and visualization
- mapchete — Tile-based geodata processing using rasterio & Fiona
- mdml — Application of Deep learning on molecular dymanamics trajectories
- menrva — Generalized Dask Client for GraphViper Framework
- metacast — A package for broadcasting epidemiological and ecological models over meta-populations.
- metalpy — Essential tools and libraries for SimPEG and related workflows.
- metsim — Meteorology Simulator
- miranda — Python utilities for climate data collection, conversion, and management
- 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.
- mlrun — Tracking and config of machine learning runs
- mobilkit — A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data
- modin — Modin: Make your pandas code run faster by changing one line of code.
- monaco — Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
- mskit — Utils for MS data processing
- mtstreamz — Minh-Tri Pham's extension of the streamz Python library
- multidimio — Cloud-native, scalable, and user-friendly multi dimensional energy data!
- mv-featuretools — a framework for automated feature engineering
- mvfeaturetools — a framework for automated feature engineering
- myylearn — An General Automated Machine Learning Framework
- napari-stress — Interactive surface analysis in napari for measuring mechanical stresses in biological tissues
- netcdfella — Netcdfella is providing multiple ways to convert netcdf filed into other data types such as ASCII, PNG and JPG, and even create graphs.
- nlpretext — All the goto functions you need to handle NLP use-cases, integrated in NLPretext
- noah-vega — AutoML Toolkit