Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Implementation of the "Deep Matrix Factorization Models for Recommender Systems"

🎬🧠 Exploring neural networks (and variational inference) for collaborative filtering

Models for Multi-Touch Attribution

Multi-Touch Attribution

Uplift modeling and causal inference with machine learning algorithms

This is a repository of public data sources for Recommender Systems (RS).

Tinybird Web Analytics template

tableau练习：数据集+课程复现+作业完成

System design patterns for machine learning

大数据分析项目

A collection of full time roles in SWE, Quant, and PM for new grads.

Free MLOps course from DataTalks.Club

My solution to the book A Collection of Data Science Take-Home Challenges

Curated list of data science interview questions and answers

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

This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.

The official Python library for the OpenAI API

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Git & Github 的相关指令和使用方法、笔记整理。