ska-sa / scikits.fitting

Related projects: ⓘ

• phobson / paramnormal
  Conventionally parameterized probability distributions
  ☆35Updated this week
• minrk / condamagic
  %conda magic for IPython
  ☆27Updated 7 years ago
• ColCarroll / carpo
  Run and time jupyter notebooks
  ☆12Updated last year
• BIDS / datarray
  Prototyping numpy arrays with named axes for data management.
  ☆87Updated last year
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆33Updated last year
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• modusdatascience / glm-sklearn
  Some scikit-learn-esque wrappers for statsmodels GLM
  ☆23Updated 11 years ago
• wesm / statlib
  Bayesian State Space and Dynamic Models
  ☆33Updated 12 years ago
• ericmjl / minimal-panel-app
  A pedagogical implementation of panel apps served up on a remote machine.
  ☆14Updated 2 years ago
• thunder-project / thunder-regression
  algorithms for mass univariate regression
  ☆12Updated 6 years ago
• dask / dask-drmaa
  Deploy Dask on DRMAA clusters
  ☆40Updated 3 years ago
• mfouesneau / dasksge
  deploy Dask.distributed to GridEngine (sge/pbs) cluster systems
  ☆21Updated 7 years ago
• pysal / spglm
  SParse Generalized Linear Models (spglm)
  ☆32Updated 2 months ago
• matthew-brett / gitwash
  Workflow using git
  ☆48Updated 2 years ago
• intake / dfviz
  dataframe visualiser
  ☆17Updated 5 years ago
• clusterlib / clusterlib
  Tools to manage jobs on supercomputer
  ☆40Updated 8 years ago
• ajmendez / PyMix
  PyMix - The Python mixture package
  ☆16Updated 8 years ago
• fonnesbeck / PyMC3_Oslo
  Probabilistic programming in Python workshop at Oslo universitetssykehus HF
  ☆36Updated 8 years ago
• fonnesbeck / pymc_tutorial
  PyMC Tutorial for SciPy 2011
  ☆27Updated 13 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆24Updated 6 years ago
• mlgill / pdLSR
  Pandas-aware non-linear least squares regression using Lmfit
  ☆10Updated 8 years ago
• PredictiveScienceLab / py-design
  Design of random experiments in Python
  ☆25Updated 5 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• mrocklin / dask-spark
  Dask and Spark interactions
  ☆21Updated 7 years ago
• esdalmaijer / cluster_power
  Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…
  ☆13Updated 4 years ago
• choldgraf / nbreport
  ☆27Updated 5 years ago
• kwgoodman / la
  Meet larry, the labeled numpy array
  ☆44Updated 8 years ago
• tonysyu / mpltools
  Tools for Matplotlib
  ☆125Updated 2 years ago
• tritemio / pybroom
  pybroom, the python's broom to tidy up messy fit results!
  ☆14Updated 7 years ago
• mobeets / jekyll-ipython-markdown
  build process for turning ipython notebooks into markdown files for your jekyll blog
  ☆18Updated 9 years ago