This repository contains a list of awesome literature in statistics and machine learning.
☆13Jun 13, 2024Updated 2 years ago
Alternatives and similar repositories for awesome-statml
Users that are interested in awesome-statml are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains a list of awesome literature in learning-to-rank.☆13Sep 18, 2023Updated 2 years ago
- CUHK-SToAT: Open Statistical Toolkits☆19Mar 6, 2026Updated 3 months ago
- Significance tests of feature relevance for a black-box learner☆20Aug 2, 2024Updated last year
- EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification☆36Nov 1, 2025Updated 8 months ago
- nl-causal: nonlinear causal inference based on IV regression in Python☆16Jul 9, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Fast Covariance Estimation, CTF Correction, Denoising of Cryo-EM Images☆14Jul 31, 2025Updated 11 months ago
- R Package applying MRcML methods.☆15Aug 23, 2024Updated last year
- Prototyping about eXplainable Artificial Inteligence (XAI)☆25Jan 5, 2023Updated 3 years ago
- Differentiable Spline Approximations☆14Sep 3, 2023Updated 2 years ago
- JMLR Cover Letter Template☆10Dec 15, 2021Updated 4 years ago
- [NeurIPS 2023] Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence☆11Feb 10, 2024Updated 2 years ago
- Survey of Learning To Rank☆16Nov 13, 2025Updated 7 months ago
- 全球人工智能技术创新大赛-赛道三：小布助手对话短文本语义匹配☆11Apr 5, 2021Updated 5 years ago
- ☆15Jun 6, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆18Dec 17, 2023Updated 2 years ago
- Official code for "Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Patholog…☆17Oct 15, 2021Updated 4 years ago
- ☆16Nov 15, 2024Updated last year
- Recommender System Using Parallel Matrix Factorization☆85May 5, 2023Updated 3 years ago
- Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm☆27Aug 8, 2024Updated last year
- Johnson-Lindenstrauss transform (JLT), random projections (RP), fast Johnson-Lindenstrauss transform (FJLT), and randomized Hadamard tran…☆24Jul 11, 2023Updated 2 years ago
- ☆18Feb 6, 2023Updated 3 years ago
- A deep learning artificial intelligence model to detect COVID-19 on chest X-rays☆19Mar 6, 2021Updated 5 years ago
- LIBLINEAR理论与源码解读（已完结）☆20Feb 5, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆22Jun 30, 2019Updated 7 years ago
- Nonlinear Causal Discovery with Confounders☆21Feb 9, 2023Updated 3 years ago
- ☆22May 6, 2020Updated 6 years ago
- A customized PyTorch layer and a customized PyTorch activation function using B-spline transformation☆29Jan 31, 2021Updated 5 years ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆34Nov 22, 2022Updated 3 years ago
- Multi-task regression in Python☆25Feb 3, 2021Updated 5 years ago
- Geometric Generative Model Tutorial at LoG 2024☆28Nov 27, 2024Updated last year
- DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)☆48Jan 8, 2024Updated 2 years ago
- Optimal Transport for Machine Learners☆77Jun 22, 2026Updated last week
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.☆25Jul 8, 2018Updated 7 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆122Sep 1, 2018Updated 7 years ago
- noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.☆59Aug 7, 2022Updated 3 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆62Jul 19, 2022Updated 3 years ago
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆242Jun 10, 2025Updated last year
- TPAMI: Classification with noisy labels by importance reweighting.☆39Oct 4, 2019Updated 6 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆95Mar 24, 2023Updated 3 years ago