statmlben / awesome-statmlLinks
This repository contains a list of awesome literature in statistics and machine learning.
☆14Updated 11 months ago
Alternatives and similar repositories for awesome-statml
Users that are interested in awesome-statml are comparing it to the libraries listed below
Sorting:
- Recommender systems in Python☆27Updated 5 months ago
- Significance tests of feature relevance for a black-box learner☆18Updated 10 months ago
- CUHK-SToAT: Open Statistical Toolkits☆19Updated 2 months ago
- nl-causal: nonlinear causal inference based on IV regression in Python☆16Updated 10 months ago
- Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence☆16Updated last month
- A covariate-dependent approach to Gaussian graphical modeling in R☆23Updated last year
- Course Materials☆12Updated 2 years ago
- This repository contains a list of awesome literature in learning-to-rank.☆15Updated last year
- Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"☆25Updated 2 years ago
- This repository is the demo implementation of [Deep Dimension Reduction for Supervised Representation Learning].☆11Updated 8 months ago
- ☆16Updated last year
- Python library for Variants of Support Vector Machines☆11Updated 3 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆170Updated last year
- A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.☆24Updated 3 months ago
- ☆9Updated 5 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆140Updated 11 months ago
- ☆45Updated 6 years ago
- ☆23Updated 3 years ago
- Feature selection in neural networks☆237Updated 8 months ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆192Updated 3 months ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆181Updated 5 months ago
- Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"☆13Updated 4 months ago
- Nonlinear Causal Discovery with Confounders☆19Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆119Updated last year
- ☆11Updated 3 years ago
- A benchmark for distribution shift in tabular data☆52Updated 11 months ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 2 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆61Updated 5 years ago
- RankSEG: A consistent ranking-based framework for segmentation☆26Updated 3 months ago