Alternatives and similar repositories for PhyloInfer

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

• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated 2 years ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆57Updated 4 years ago
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆31Updated 4 years ago
• jonathan-taylor / selective-inference
  Software for selective inference
  ☆18Updated 2 years ago
• andrewcharlesjones / multi-group-GP
  Multi-group Gaussian process (MGGP)
  ☆23Updated last year
• caponetto / bhc
  Python implementation of Bayesian hierarchical clustering and Bayesian rose trees algorithms.
  ☆18Updated 4 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 4 years ago
• tijana-zrnic / active-inference
  ☆18Updated last year
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆23Updated 2 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆50Updated last year
• clarafy / conformal-for-design
  ☆28Updated 3 years ago
• jan-glx / ICPy
  This packages provides a simple python implementation of Invariant Causal Prediction (ICP)
  ☆13Updated last year
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 4 years ago
• mims-harvard / fusenet
  Network inference by fusing data from diverse distributions
  ☆14Updated 9 years ago
• jiaqima / SODEN
  SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks
  ☆14Updated 2 years ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 4 years ago
• duvenaud / additive-gps
  Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.
  ☆21Updated 11 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆61Updated 5 years ago
• ciemss / pyciemss
  Causal and probabilistic reasoning with continuous time dynamical systems
  ☆19Updated 5 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆21Updated 11 months ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆72Updated last year
• ryantibs / genlasso
  Path algorithm for generalized lasso problems
  ☆34Updated 3 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated 2 years ago
• leotrs / sunbeam
  SuNBEaM, (s)pectral (n)on-(b)acktracking (e)igenvalue pseudo-(m)etric, a topological graph distance
  ☆16Updated 6 years ago
• blengerich / drpca
  Differential Robust PCA
  ☆13Updated 3 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• zifanzhu / DeepLINK
  Deep Large-Scale Inference UsingKnockoffs
  ☆11Updated 4 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆29Updated 5 years ago