Alternatives and similar repositories for ml

Users that are interested in ml are comparing it to the libraries listed below

• slinderman / stats271sp2021
  Material for STATS271: Applied Bayesian Statistics (Spring 2021)
  ☆27Updated 4 years ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• canyon289 / ssm_book_club
  ☆17Updated 2 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆67Updated 7 months ago
• slinderman / stats305c
  STATS305C: Applied Statistics III (Spring, 2023)
  ☆27Updated 2 years ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆47Updated 2 years ago
• wesselb / stheno
  Gaussian process modelling in Python
  ☆222Updated 8 months ago
• williamgilpin / fnn
  Embed strange attractors using a regularizer for autoencoders
  ☆133Updated 4 years ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆120Updated 6 months ago
• gpapamak / snl
  Sequential Neural Likelihood
  ☆40Updated 5 years ago
• statistical-python / yaglm
  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…
  ☆58Updated 2 years ago
• eth-cscs / abcpy
  ABCpy package
  ☆115Updated last year
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• mind-inria / picard
  Preconditioned ICA for Real Data
  ☆113Updated last month
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆100Updated 2 years ago
• samcohen16 / Aligning-Time-Series
  ☆51Updated last year
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• TyXe-BDL / TyXe
  ☆152Updated 2 years ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆32Updated 4 years ago
• StannisZhou / mixed_hmc
  ☆12Updated 3 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆182Updated 2 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated last year
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• arviz-devs / simuk
  Simulation based calibration and generation of synthetic data.
  ☆55Updated 2 months ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆129Updated 5 years ago