There are 3 repositories under continuous-learning topic.
Awesome Trainings from Cloud Native Computing Foundation Projects and Kubernetes related software
An Incremental Learning, Continual Learning, and Life-Long Learning Repository
Evaluate three types of task shifting with popular continual learning algorithms.
Source code and datasets for Ekya, a system for continuous learning on the edge.
Explorations into the proposed Streaming Deep Reinforcement Learning, from University of Alberta
This research proposed an Advanced DDoS Attack Detection System (ADADS) using a Hybrid Detection Model (HDM) and Continuous Learning Model (CLM) for dynamic adaptation to evolving attack patterns.
PatternEx domain feed: malicious domains detected with AI
comparative evaluation of incremental machine learning methods
Automated Filtering of Undesirable Web Data to Update LLM Knowledge
💡 A growth mindset helps individuals embrace challenges 💪, persist through obstacles 🚧, and view effort as a path to mastery 🛤️. This framework is built to support those looking to develop such a mindset 🌱, fostering personal and professional growth 🚀.
Popular tools used in DevOps
OSA - The Ultimate Autonomous AI System with Human-like Thinking
The RAG Pipeline with BeyondLLM project utilizes advanced AI to transform English YouTube videos into structured, actionable insights, integrating cutting-edge retrieval techniques and language models to deliver accurate and relevant responses. Ideal for AI enthusiasts, it emphasizes continuous learning and real-world application.
Chameleon: An efficient continuous adaptation framework based on NVIDIA TAO.
MindFlow é uma aplicação que usa IA local com autoaprendizado contínuo para evoluir conforme novas perguntas e experiências do usuário.
This repository contains the project materials for optimising e-commerce conversion rates through comprehensive data analysis. Leveraging SQL, MySQL, Power BI, and other tools, explore key factors influencing website performance. From data collection to actionable insights and recommendations,
Assignments done throughout Ph. D. course at Yonsei University.
Real-time drone AI with instant alignment scoring and multi-agent path finding for safe, adaptive flight.
A machine learning system that optimizes financial transaction success rates through intelligent routing. Combines XGBoost, neural networks, and reinforcement learning to predict transaction outcomes and implement optimal routing strategies in real-time. Features API integration with payment systems, continuous model retraining, performance monitor
A web application for predicting dish ordering in a restaurant.