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.
  ☆14Updated 11 months ago
• statmlben / dnn-inference
  Significance tests of feature relevance for a black-box learner
  ☆18Updated 10 months ago
• stoat-proj / SToAT
  CUHK-SToAT: Open Statistical Toolkits
  ☆19Updated 2 months ago
• statmlben / nonlinear-causal
  nl-causal: nonlinear causal inference based on IV regression in Python
  ☆16Updated 10 months ago
• wangyt95 / LinearRegression-Notes
  For sharing purposes
  ☆27Updated last year
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆170Updated last year
• tengyuma / cs229m_notes
  ☆227Updated 2 years ago
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 4 years ago
• softmin / ReHLine-python
  Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
  ☆16Updated last month
• bangoz / Semiparametric-Models-2022-Spring
  Course Materials
  ☆12Updated 2 years ago
• Liao-Xu / DDR
  This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].
  ☆11Updated 8 months ago
• YuhangZhou88 / ESL_Solution
  ☆275Updated 2 years ago
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆93Updated last year
• callmespring / RL-short-course
  Reinforcement Learning Short Course
  ☆64Updated 5 months ago
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆164Updated 11 months ago
• statmlben / awesome-ranking
  This repository contains a list of awesome literature in learning-to-rank.
  ☆15Updated last year
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆140Updated 11 months ago
• yromano / cqr
  Conformalized Quantile Regression
  ☆273Updated 3 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…
  ☆328Updated 7 months ago
• CausalML / RemovingHiddenConfounding
  ☆9Updated 5 years ago
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆13Updated 4 months ago
• ml-stat-Sustech / TorchCP
  A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
  ☆386Updated last week
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆159Updated last year
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆105Updated 4 years ago
• kjytay / stanford-stats
  My notes from class
  ☆67Updated 7 years ago
• LeoGrin / tabular-benchmark
  ☆479Updated 9 months ago
• cxh1996108 / Probability-Theory-and-Examples-5th-edition
  Solution and Useful Links
  ☆53Updated 3 years ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆118Updated 2 months ago
• anpwu / Causal4Application
  ☆23Updated 3 years ago
• anthem-ai / bcauss
  Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"
  ☆25Updated 2 years ago