Alternatives and similar repositories for dnn-inference

Users that are interested in dnn-inference are comparing it to the libraries listed below

• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆77Updated 4 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆147Updated last year
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆49Updated 3 years ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆176Updated last year
• gostevehoward / confseq
  Confidence sequences and uniform boundaries
  ☆67Updated 10 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated 3 months ago
• jjcherian / fairaudit
  Statistical inference for fairness auditing
  ☆13Updated 2 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 9 months ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆267Updated last year
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆260Updated 2 weeks ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated last year
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆276Updated this week
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆248Updated last year
• betacal / python
  Beta calibration
  ☆30Updated last year
• ryantibs / statlearn-s24
  Course materials for Advanced Topics in Statistical Learning, Spring 2024
  ☆24Updated 2 months ago
• mkusner / counterfactual-fairness
  Code for "Counterfactual Fairness" (NIPS2017)
  ☆55Updated 7 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆477Updated last year
• csquires / 6.S091-causality
  ☆189Updated 2 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆106Updated this week
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆337Updated 11 months ago
• ryantibs / statlearn-s23
  Course materials for Advanced Topics in Statistical Learning, Spring 2023
  ☆49Updated 2 months ago
• ErikinBC / SurvSet
  ☆58Updated 3 months ago
• blei-lab / deconfounder_public
  ☆22Updated 2 years ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆72Updated last week
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆108Updated 4 years ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆36Updated 2 years ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆75Updated 2 years ago
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆70Updated 4 years ago