learning-theory 开源项目推荐（68 个）

tensorflow /adanet

Fast and flexible AutoML with learning guarantees.

tirthajyoti /Papers-Literature-ML-DL-RL-AI

与机器学习、深度学习、人工智能、博弈论、强化学习相关的高引用和有用的论文

SMPyBandits /SMPyBandits

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

Guyanqi /Awesome-Privacy

Repository for collection of research papers on privacy.

YuanheZ /lean-stat-learning-theory

[ICML2026] The first, fully verified, sorry-free, large-scale Lean 4 library for statistical learning theory, covering infrastructures for mordern statistics and learning theory.

FranxYao /Distributional-Generalization-in-Natural-Language-Processing

Distributional Generalization in NLP. A roadmap.

Wei2624 /AI_Learning_Hub

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

grasp-lyrl /modelzoo_continual

Model Zoos for Continual Learning (ICLR 22)

ajwills72 /catlearn

Formal Psychological Models of Categorization and Learning

juliusberner /oberwolfach_workshop

Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)

HamBa-m /scinis-learn

Scinis-learn 是由摩洛哥年轻的人工智能工程学生从零开始开发的非面向对象编程机器学习函数包。

nzw0301 /pb-contrastive

#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning

yokoxue /HRP

Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.

Zetetic-Dhruv /formal-learning-theory-kernel

Lean4 lib for formalization and advancement of stat and algorithmic learning theory

johnjaejunlee95 /synergistic-multimodal

Official code for Paper: "Can One Modality Model Synergize Training of Other Modality Models?" implemented in PyTorch

BensonHuangTW /Machine_Learning_Foundations_Fall2020_Homework_Solutions

Solutions and Codes Example for Assignments of Machine Learning Foundation, Fall 2020, National Taiwan University

ericzhao28 /multidistributionlearning

Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)

TimoFlesch /NeuralTangentKernel

A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)

rahul13ramesh /MultiTask_ModelZoo

Implementation of https://arxiv.org/abs/2106.03027

vzantedeschi /StocMV

source code of NeurIPS 2021 paper: "Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound"