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.

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

Generalized Linear Models in Sklearn Style

李航《统计学习方法》笔记和 Python 实现（不基于任何代数运算库）。

[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

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

Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data

A Simple Statistical Distribution Library in JAX

Distributionally robust machine learning with Pytorch and Scikit-learn wrappers

A package for online distributional regression.

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.

Efficient Multimodal Sampling via Tempered Distribution Flow

The value of out-of-distribution data (ICML 2023)

THIS SOFTWARE HAS MOVED!

An NLP based Web-App that asks the user to input some Job Posting along with a candidate to list to give scores to the candidates based on their proficiency in the job profile required as an output.

Solving 20Questions with Machine Learning