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shap

A game theoretic approach to explain the output of any machine learning model.

shapley_valuation

PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuation of Data" by Amirata Ghorbani and James Zou [ICML 2019]

shapleyexplanationnetworks

Implementation of the paper "Shapley Explanation Networks"

shear

Towards Efficient Shapley Value Estimation via Cross-contribution Maximization

smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

sofc-exp_textmining_resources

Resources related to ACL 2020 paper "The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain"

solutions

《神经网络与深度学习》课后习题答案-分享讨论

sorobn

🧮 Bayesian networks in Python

spectral-clustering-for-image-segmentation

Spectral Clustering

stanford-cs-229-cn

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

statistic-learning-r-note

📖超详细《统计学习方法：李航》笔记 200 页，包含了很多详细的公式推导和案例实践，已经整理成pdf，有详细的目录。

statistical-learning-method-solutions-manual

统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

styleguide

Style guides for Google-originated open-source projects

summer2023-internships

Collection of Summer 2023 tech internships!

svdd-python

Python code for abnormal detection using Support Vector Data Description (SVDD)

syn-interventions-algorithmic-recourse

Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis.

synthcity

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

synthetic_data_generation

Algorithms for generating synthetic data

table-evaluator

Evaluate real and synthetic datasets against each other

tablegan

tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Adversarial Network architecture (DCGAN).

test

test-

text_mining_resources

Resources for learning about Text Mining and Natural Language Processing

tgan

Generative adversarial training for generating synthetic tabular data.

the-gan-zoo

A list of all named GANs!

thinkbayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

thorough-pytorch

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

tiny_ml

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

torchlayers

Shape and dimension inference (Keras-like) for PyTorch layers and neural networks