A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
A collection of research papers on decision, classification and regression trees with implementations.
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
Generalized Linear Models in Sklearn Style
Statistics and Mathematics for Machine Learning, Deep Learning , Deep NLP
李航《统计学习方法》笔记和 Python 实现（不基于任何代数运算库）。
Tools Are Not Islands: Set-Level Tool Retrieval for LLM Agents via Query-Conditioned Hyperedge Prediction
A package for online distributional learning.
[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective
h-calibration: post-hoc calibration for deep learning classifier
Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data
I have had trouble in the past finding a place where I could learn about statistical learning algorithms, resources as to how to learn them and the code associated with it. This is my attempt at remedying that issue.
Conditional Associative Logic Memory
Distributionally robust machine learning with Pytorch and Scikit-learn wrappers
A Simple Statistical Distribution Library in JAX
The crimedatasets package provides a comprehensive collection of crime-related datasets from around the world. It includes extensive data on topics such as mass shootings, hate crimes, incarceration statistics, serial killers, corruption indexes, law enforcement data, criminal justice metrics, drug overdoses and more.
awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Programs for Information Topology Data Analysis
Implementation of backward elimination algorithm used for dimensionality reduction for improving the performance of risk calculation in life insurance industry.
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