Alternatives and similar repositories for CUHK-STAT3009

Users that are interested in CUHK-STAT3009 are comparing it to the libraries listed below

• statmlben / awesome-statml
  This repository contains a list of awesome literature in statistics and machine learning.
  ☆13Updated last year
• statmlben / dnn-inference
  Significance tests of feature relevance for a black-box learner
  ☆19Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆737Updated 2 years ago
• anthem-ai / bcauss
  Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
  ☆24Updated 2 years ago
• statmlben / nonlinear-causal
  nl-causal: nonlinear causal inference based on IV regression in Python
  ☆16Updated last year
• 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…
  ☆340Updated 11 months ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆147Updated last year
• anpwu / Causal4Application
  ☆24Updated 3 years ago
• YuhangZhou88 / ESL_Solution
  ☆278Updated 2 years ago
• stoat-proj / SToAT
  CUHK-SToAT: Open Statistical Toolkits
  ☆19Updated last month
• 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
• tengyuma / cs229m_notes
  ☆235Updated 2 years ago
• claudiashi57 / dragonnet
  ☆281Updated 3 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆477Updated last year
• aangelopoulos / conformal-prediction
  Lightweight, useful implementation of conformal prediction on real data.
  ☆953Updated 3 months ago
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 4 years ago
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆13Updated 8 months ago
• wangyt95 / LinearRegression-Notes
  For sharing purposes
  ☆27Updated last year
• LeoGrin / tabular-benchmark
  ☆488Updated last year
• kellty / multiSTAT
  Applied Multivariate Statistical Analysis | PKU 2019 Fall
  ☆90Updated 3 years ago
• Liao-Xu / DDR
  This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].
  ☆10Updated last year
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• dplecko / CFA
  Causal Fairness Analysis
  ☆19Updated 5 months ago
• csquires / 6.S091-causality
  ☆190Updated 2 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆313Updated 2 years ago
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆100Updated last year
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆126Updated last year
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆61Updated 7 months ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆290Updated 10 months ago
• fulifeng / Causal_Reading_Group
  We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…
  ☆518Updated 2 years ago