Popular GitHub Repositories for Polars

A work in progress to build out solutions in Rust for MLOPs

Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow

一个独立的、轻量级的、开箱即用的现代机器学习研究平台

A Framework For Intelligence Farming

Solution to kaggle competition OTTO – Multi-Objective Recommender System: https://www.kaggle.com/competitions/otto-recommender-system

DF Embedder is a high-performance Python library (with a Rust backend) for indexing and embedding Apache Arrow compatible DataFrames (like Polars or Pandas) into low latency vector databases based on Lance files.

一个高级Python库，旨在简化数据科学家的数据准备和转换工作。让数据科学更轻松，减少数据处理的痛苦。

高效地查询带有标签/属性过滤的多重有向图中的模式，支持 Neo4j 和 SQLite3 作为存储层。

Predicting Body Fat Percentage Using Machine Learning

Instacart’s data science team plays a big part in providing this delightful shopping experience. Currently they use transactional data to develop models that predict which products a user will buy again, try for the first time, or add to their cart next during a session.

Discover a comprehensive approach to constructing credit risk models. We employ various machine learning algorithms like LightGBM and CatBoost, alongside ensemble techniques for robust predictions. Our pipeline emphasizes data integrity, feature relevance, and model stability, crucial elements in credit risk assessment.

一款基于LangGraph、LangChain、Qdrant和Gemini Flash 2.0构建的RAG聊天机器人，用于解答关于Polars Python库的问题。其功能包括向量搜索、语义嵌入和Gradio网页界面。Hugging Face平台上提供在线演示。

Pawsitive Retrieval RAG Project - Erdos Institute Deep Learning Boot Camp - Spring 2024

This project aims to train three classification models (LogisticRegression, DecisionTree and RandomForest) using AWS SageMaker to classify customer churn from a database obtained from kaggle.com.