We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

TabICLv2: A state-of-the-art tabular foundation model

Power BI CLI - semantic models (.NET TOM) and PBIR reports for token-efficient AI agent usage, built for Claude Code

ML models + benchmark for tabular data classification and regression

Characterization of relational table embeddings (VLDB 2024).

PowerBI MCP server to give LLM clients (Claude, GH Copilot,etc) context from locally running PowerBI Desktop instances.

[ICML 2024] BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model

Convert your SSAS Models into Power BI Projects with Python

A framework to evaluate various models for tabular regression and classification tasks.

Python CLI tool to refresh schema of Power BI tabular model file (.bim) from Snowflake database

Create measures with TabularEditor using a versatile scripts and XML based templates.

Extract Microsoft Fabric semantic model metadata. AI-ready exports for LangChain, OpenAI, Semantic Kernel, AutoGen, and custom plugins. Multi-provider LLM enrichment, MCP server, and cross-model governance.

Cluster any mixed-type table using the semantic understanding of pretrained sentence encoders — zero preprocessing, zero labels, zero guessing the number of clusters.

Tool for investigate running Power BI instances as Microsoft Analysis Servises Tabular

Successfully established an ANN model which can accurately predict whether a customer will subscribe to term deposits provided by the bank or not.

Claude AI skill + interactive tool for Power BI TMDL — generate, explain, validate & deploy tabular models. Covers beginners to senior developers.

Kaggle-Works is your one-stop repo to organize every phase of a Kaggle competition or tabular-data project. It enforces a clear directory layout so you never lose track of files, and makes it easy to hand off or reproduce your work later.

RL agents learning homeostatic control, built from scratch in NumPy

Dedicated to Machine Learning discipline

Track Claude Code usage after each prompt cycle with per-prompt token, cost, and context summaries.