Alternatives and similar repositories for Variant-SVM

Users that are interested in Variant-SVM are comparing it to the libraries listed below

• statmlben / awesome-statml
  This repository contains a list of awesome literature in statistics and machine learning.
  ☆14Updated 11 months ago
• statmlben / dnn-inference
  Significance tests of feature relevance for a black-box learner
  ☆18Updated 10 months ago
• statmlben / CUHK-STAT3009
  Recommender systems in Python
  ☆27Updated 5 months ago
• statmlben / nonlinear-causal
  nl-causal: nonlinear causal inference based on IV regression in Python
  ☆16Updated 10 months ago
• stoat-proj / SToAT
  CUHK-SToAT: Open Statistical Toolkits
  ☆19Updated 2 months ago
• HongtengXu / PoPPy
  A Point Process Toolbox Based on PyTorch
  ☆131Updated 4 years ago
• JingyuHe / XBART
  ☆92Updated 5 months ago
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆49Updated 2 years ago
• nrdg / groupyr
  groupyr: Sparse Group Lasso in Python
  ☆22Updated 8 months ago
• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆326Updated last week
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆467Updated last year
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆106Updated last year
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 3 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• ericstrobl / RCIT
  The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)
  ☆25Updated 6 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆228Updated last year
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆243Updated 9 months ago
• crflynn / skgrf
  scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library
  ☆33Updated 3 years ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆86Updated 3 weeks ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 4 years ago
• christinaheinze / CompareCausalNetworks
  A unified interface for the estimation of causal networks
  ☆22Updated 5 years ago
• caojiguo / FDAcourse2019
  Slides and R codes for Functional Data Analysis Course
  ☆95Updated 5 years ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆149Updated 9 months ago
• taekb / lda_cavi
  Implementation of Coordinate Ascent Variational Inference (CAVI) for Latent Dirichlet Allocation (LDA)
  ☆7Updated 5 years ago
• gostevehoward / confseq
  Confidence sequences and uniform boundaries
  ☆63Updated 7 months ago
• HongtengXu / Hawkes-Process-Toolkit
  A toolbox of Hawkes processes
  ☆113Updated 7 years ago
• slinderman / pyhawkes
  Python framework for inference in Hawkes processes.
  ☆241Updated last year
• yaglm / 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
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆60Updated 4 years ago