Alternatives and similar repositories for vanilla-machine-learning:

Users that are interested in vanilla-machine-learning are comparing it to the libraries listed below

• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆77Updated 7 months ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆255Updated this week
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆84Updated 4 years ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆171Updated 2 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆142Updated last year
• zacharyaanglin / ProbabilisticDeepLearningTensorFlow
  Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
  ☆70Updated 5 years ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 5 months ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆241Updated 2 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆124Updated 4 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆225Updated 3 years ago
• sktime / pysf
  Supervised forecasting of sequential data in Python.
  ☆55Updated 6 years ago
• tensorchiefs / dl_book
  legend
  ☆198Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated 11 months ago
• amueller / aml
  Applied Machine Learning with Python
  ☆77Updated 9 months ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆223Updated last year
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated last year
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆155Updated 4 years ago
• takotab / fastseq
  A way to use N-Beats in fastai for sequence data
  ☆59Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆50Updated 2 years ago
• firmai / datagene
  DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
  ☆201Updated 2 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆160Updated 9 months ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆312Updated last year
• tblume1992 / MFLES
  ☆114Updated 11 months ago
• ngoix / EMMV_benchmarks
  ☆47Updated 7 years ago
• fonnesbeck / Bayes_Computing_Course
  ☆231Updated 3 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆270Updated 3 years ago