Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具,欢迎提交issues 或者pull requests
-
Updated
Jun 2, 2024
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Collection of AI-related utilities. Welcome to submit issues and pull requests /收藏AI相关的实用工具,欢迎提交issues 或者pull requests
Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴
A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴
Dynamic detection of likely invariants
Code for the paper: Diversity Measures: Domain Independent Proxies for Failure in Language Model Queries
📹 Collection of my Youtube Tutorials over the years! Read, write, and share what you create ✨🎈
Comprehensive notes and code on Python, data analysis, visualization, machine learning, and deep learning from my data science learning journey.
Visualizer for neural network, deep learning and machine learning models
Low-code framework for building custom LLMs, neural networks, and other AI models
HeFlwr: Federated Learning for Heterogeneous Devices
A list of Incomplete Interview Questions (Python and Data Science only )
Generate Art
Developed and deployed a scalable machine learning model for real-time customer segmentation using FastAPI, Docker, Kubernetes, and GitHub Actions, with an end-to-end CI/CD pipeline on Azure Kubernetes Service, enhancing targeted marketing strategies through robust and seamless integration and deployment
my attempt to train a model on Ames housing dataset.
Comparison-based Machine Learning in Python
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
Emotion Classifier Model
AI on Hadoop