Reverse Dependencies of partd

The following projects have a declared dependency on partd:

• animal-classification — classification of animals using machine learning models
• arctic-ai — Python package for Arctic Workflow. Mirrors jupyter developments.
• AssayingAnomalies — This library is a Python implementation of the MATLAB Toolkit that accompanies Novy-Marx and Velikov (2023) and is to be used for empirical academic asset pricing research, particularly focused on studying anomalies in the cross-section of stock returns.
• autodidaqt — AutodiDAQt is a simple data acquisition framework. For science.
• CIxTools — Cheminformatics Tools
• coastal-resilience-utilities — Utilities for conducting coastal resilience assessments
• competitionassay — Software for the analysis of competition assay data.
• crl-datacube — Utilities for scaling geospatial analyses
• dask — Parallel PyData with Task Scheduling
• draco-ml — AutoML for Time Series.
• drcell — GUI to generate, cluster and optimize dimensionality reduction output
• dtween — Digital Twin of an Organization realized with Action-Oriented Process Mining
• Epinano — call variants, compute variants frequencies from bam file and use the frequencies to predict RNA base modifications
• fishsound-finder — Python software to automatically detect fish sounds in passive acoustic recordings
• Gedi — Generating Event Data with Intentional Features for Benchmarking Process Mining
• greenguard — AutoML for Renewable Energy Industries.
• grmrcnn — This is for object detection model by combining Gradcam++ with MaskRCNN
• impresso-commons — Python module highly reusable within impresso.
• impresso-essentials — Python module highly reusable within impresso.
• input4mips-validation — Validation of input4MIPs data (checking file formats, metadata etc.).
• LorenzCycleToolkit — no summary
• lp-Aicloud — this a aicloud
• luis1996 — my description
• luisito1996 — my description
• luisito19963 — my description
• mdml — Application of Deep learning on molecular dymanamics trajectories
• meerschaum — Sync Time-Series Pipes with Meerschaum
• 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.
• netcdfella — Netcdfella is providing multiple ways to convert netcdf filed into other data types such as ASCII, PNG and JPG, and even create graphs.
• nomad-camels — CAMELS is a configurable measurement software, targeted towards the requirements of experimental solid-state physics.
• odo-fixpandas20 — Data migration utilities
• parcel-data-collector — no summary
• parcel-data-collector2 — no summary
• PSSM-promoter-tool — The tool applies direct and inverted Codon Restrained Promoter Silencing method to the provided gene sequence
• py2ls — py(thon)2(too)ls
• pydisconet — analyzing the co-authorship network of researchers in the field of biology
• PyStore — Fast data store for Pandas timeseries data
• sangreal-odo — Data migration utilities
• satip — Satip provides the functionality necessary for
• sdmbc — Sub-Daily Multivariate Bias Correction (SDMBC)
• sgkit — Statistical genetics toolkit
• shot-detector — Python shot detector based on PyAV
• singletrader — a package for backtesting and factor analysis
• solarkat — Solar imaging pipeline for solar interference mitigation in MeerkAT
• sphynxml — no summary
• th2-data-services-utils — th2_data_services_utils
• trialtracker — Methods to extract and transform clinical trial data
• TSInterpret — todo
• VASPsol — A VASPsol python helper package to simplify calculations and analysis
• write-condastat — write-condastat makes it easy to collect, filter and save conda statistics to csv files.
• zftracker — Python library for tracking group of zebrafish