Contributors: Erik Cederstrand
Name: Erik Cederstrand
Login: ecederstrand
Email: erik@cederstrand.dk
Description: Backend Python programmer. FreeBSD fanboy. Relatively non-horrible personality. Currently working on bioinformatics big data platforms.
Location: Copenhagen, DK
Company: @novonesis
Repositories count: 35
Last synced at: 2024-05-20T14:36:56.851Z
Total stars: 1150
Followers: 103
Following: 6
Funding Links:
https://github.com/sponsors/ecederstrand
OST Projects: 1
Languages: Cython
Categories: Climate Change
Sub Categories: Climate Data Standards
Topics: netcdf4, bioinformatics, cell-design, cobra, computational-biology, flux, metabolic-models, metabolic-network, metabolism, sbml, sbml-model, sbml-simulation, strain-engineering, systems-biology, jsonnet, superset, forest, scikit-learn-api, automl, deployment, distributed, hyperparameter-optimization, hyperparameter-search, llm-serving, model-selection, parallel, ray, rllib, serving, argon2, ccm, cryptography, eax, encrypted-data, gcm, hashes, keyring, keyrings, mac, ocb, pycrypto, pycryptodome, secrets, symmetric-cryptography, 3d-images, image-analysis, porespy, porous-materials, porous-media, tomography, voxel-generator, dtw, dynamic-time-warping, time-series-classification, time-series-clustering, bias, blackbox, differential-privacy, explainability, explainable-ai, explainable-ml, gradient-boosting, iml, interpretability, interpretable-ai, interpretable-machine-learning, interpretable-ml, interpretml, transparency, xai, sequence-logos, weblogo, cffi
Contributed Projects
netcdf-python
The Unidata network Common Data Form (netCDF) in Python is an interface for scientific data access and a set of freely-distributed software libraries that provide an implementation of the interface.
Climate Change - Climate Data Standards - Last synced: 23 Jun 2026 - Ranking: 26.1
