Explore live open-source projects and AI models.

Welcome to the 🐍 Python Data Science Repository by Lovnish Verma – a comprehensive learning package designed to help students, educators, and data science enthusiasts master Python, data visualization, data preprocessing, and machine learning with hands-on Google Colab notebooks.

implement machine learning algorithms

Notes for the courses in the Machine Learning Specialization created by the University of Washingtion on Coursera

Lecture and hands-on material for Track 8- Machine Learning of Argonne Training Program on Extreme-Scale Computing

🐳🤖 Dockerfile for ML researchers.

机器学习算法（K-mean、DPC、FCM）

How to use XGBoost for multi-step time series forecasting

Collection of executable benchmarks

This repo walks you through how to use transfer learning to fine tune a LLM (large language model) using UK Supreme Court case law as the domain specific training dataset. The model being fine-tuned is the HuggingFace GPTJ-6B model.

Machine learning model for bird songs recognition