model-performance

There are 22 repositories under model-performance topic.

  • whylabs/whylogs

    An open-source data logging library for machine learning models and data pipelines. ๐Ÿ“š Provides visibility into data quality & model performance over time. ๐Ÿ›ก๏ธ Supports privacy-preserving data collection, ensuring safety & robustness. ๐Ÿ“ˆ

    Language:Jupyter Notebook2.8k33433132
  • evidentlyai/ml_observability_course

    Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.

    Language:Jupyter Notebook955232
  • awesome-mlops/awesome-ml-monitoring

    A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data ๐Ÿš€

  • prajeesh-chavan/OpenLLM-Monitor

    OpenLLM Monitor is a plug-and-play, real-time observability dashboard for monitoring and debugging LLM API calls across OpenAI, Ollama, OpenRouter, and more. Tracks tokens, latency, cost, retries, and lets you replay prompts โ€” fully open-source and self-hostable.

    Language:JavaScript9
  • Dishant-Sharma/Data_Science_Projects

    This repository comprises of the projects and assignments that i have completed during my tenure at Great Lakes for the course program PGP-AIML. This repository also includes the lab work thatwas done during the classes and even those that were given as assessments.

    Language:Jupyter Notebook51010
  • MEDomicsLab/MED3pa

    Python Open-source package that ensures robust and reliable ML models deployments

    Language:Python5
  • JeffWang0325/Microsoft-DAT275X-Principles-of-Machine-Learning-Python-Edition

    In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.

    Language:Jupyter Notebook2201
  • akshay-kamath/Sequential-sentence-classification

    Built a Deep learning Model for Sequential Sentence Classification, for Converting โ€œHarder to Readโ€ text into โ€œEasier to Read โ€ text.

    Language:Jupyter Notebook0100
  • ashleysally00/agent_eval_testing_workflow

    Agentic Workflow Evaluation: Text Summarization Agent. This project includes an AI agent evaluation workflow using a text summarization model with OpenAI API and Transformers library. It follows an iterative approach: generate summaries, analyze metrics, adjust parameters, and retest to refine AI agents for accuracy, readability, and performance.

    Language:Python0100
  • bmshah/test_repository

    This repository contains an academic project developed in jupyter notebook using python language and machine learning algorithms.

    Language:Jupyter Notebook0100
  • FelipenerySilva/Big-Data-and-Analytics--Project-3

    Multiple Linear Regression and Logistic Regression using the Boston housing dataset

    Language:Jupyter Notebook0100
  • manjugovindarajan/ReCell-Supervised-Learning-

    Analyze used devices dataset, build a model to develop a dynamic pricing strategy for used/refurbished devices, identify factors that significantly influence price.

    Language:Jupyter Notebook0100
  • NatenaelTBekele/Brain-tumor-detection

    Improve the speed and accuracy of detecting and localizing brain tumors based on MRI scans.

    Language:Jupyter Notebook0100
  • PriyankaNigade1992/Machine-Learning-Models

    Projects on Machine Learning Model using Python

    Language:Jupyter Notebook0100
  • rishabhj29/SweetGuard-Unveiling-your-Diabetes-Destiny

    SWEETGUARD ๐Ÿ›ก๐Ÿ” โ€“ A data-driven diabetes risk assessment tool that leverages machine learning and public health datasets to predict individualized diabetes risk scores. Using Python ๐Ÿ, Power BI ๐Ÿ“Š, and statistical analysis, this project identifies key lifestyle factors and empowers individuals with personalized health insights.

    Language:HTML00
  • wajoel/credit-risk-model

    Credit Risk Prediction in R

    Language:R0100
  • Abonia1/CostPrediction

    predict the rent price of a house based on its surface

    Language:Jupyter Notebook10
  • cbrito3/Neural_Network_Charity_Analysis

    Neural Networks and Deep Learning Models

    Language:Jupyter Notebook10
  • hanfei1986/Yellowbrick-for-model-performance-visualization-for-classification

    Yellowbrick is an useful machine learning visualization library for visualizing model performance. This Jupyter notebook gives an example for using yellowbrick to visualize model performance of a ternary classification task.

    Language:Jupyter Notebook10
  • ManoHarshaSappa/Tracking_State_of_the_Art_AI-Models_and_Performance-

    Tracking State-of-the-Art AI Models and Performance is an open-source dataset documenting AI advancements from the 1950s to today. It includes model details, organizations, compute requirements, and benchmarks. Researchers and developers can analyze trends, compare models, and contribute updates. The dataset is open for collaboration $ fostering AI

    Language:Jupyter Notebook
  • sakhan-1111/Cyber-Attack-Monitoring-and-Detection-using-Machine-Learning-Techniques

    Source code for Cyber-Attack Monitoring and Detection using Machine Learning Techniques paper

    Language:Python
  • Salma-Mamdoh/CO2-Emission-Predictor

    Our Project for Machine Learning Course taken during winter 2024 semester

    Language:Jupyter Notebook