tabular-model

There are 10 repositories under tabular-model topic.

  • PhoebusSi/Alpaca-CoT

    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!

    Language:Jupyter Notebook2.6k36100248
  • dholzmueller/pytabkit

    ML models + benchmark for tabular data classification and regression

    Language:Python33213
  • superctj/observatory

    Characterization of relational table embeddings (VLDB 2024).

    Language:Python25310
  • MAGICS-LAB/BiSHop

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

    Language:Python6100
  • datnguye/snowbim

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

    Language:Python2200
  • datadu-de/MeasureMagic

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

    Language:C#1100
  • McCow/PBI_as_AS

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

  • jackesfonseca/fast-ai

    Dedicated to Machine Learning discipline

    Language:Jupyter Notebook0100
  • SayamAlt/Client-Term-Deposit-Subscription-Prediction-using-ANN

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

    Language:Jupyter Notebook
  • SayamAlt/Obesity-Risk-Classification-using-ANN

    This project aims to classify the risk of obesity based on various health and lifestyle factors using an Artificial Neural Network (ANN) implemented in PyTorch. The model is trained on a dataset containing features such as age, dietary habits, physical activity, and more, to predict the obesity risk level.

    Language:Jupyter Notebook