Low-code tool for automating actions on real time data | Stream processing for the users.
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Updated
Jun 6, 2024 - Scala
Low-code tool for automating actions on real time data | Stream processing for the users.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Praxis is an open source social network with features for collaborative decision making. Proposals are the main focus and can be used to plan events, update roles and permissions, or even make changes to how the app works.
Programming Language Selector based on language metadata and user-specified values.
High-performance metaheuristics for optimization coded purely in Julia.
PLanning and Acting with TImeliNes under Uncertainty
Marble - the real time decision engine for fraud and AML
A decision-making framework for the cost-efficient design of experiments, balancing the value of acquired experimental evidence and incurred costs.
Unlock insights into the U.S. healthcare landscape from 2019 to 2020. Our PowerBI-driven analysis delves into hospital performance, patient outcomes, and payer-provider dynamics. Dive into detailed reports and visualizations for informed decision-making, empowering healthcare stakeholders, and shaping the industry's future.
This is an open source project for tracking expenses.
Intelligent Social Systems and Swarm Robotics Lab (IS3R)
AI framework for Reinforcement Learning, Automated Planning and Scheduling
A Perfect Awesome List ! +A developer guideline/roadmap. Stating the best tech stack & tips for a software/web developer or anyone interested. π
Implementations of various decision-making models in Python
ππ¨ Explore the Windy Gridworld! An agent navigates a 10x7 grid facing wind challenges using Q-learning, SARSA, and Expected SARSA to find optimal paths. Visualize learning stability and compare algorithm performance with running averages and zoomed insights. ππ
Explore the Gridworld Simulation ππ! An agent navigates a 5x5 grid to maximize rewards, using the Value Iteration algorithm π. Visualizations π show optimal paths and value convergence. Dive into dynamic programming and decision-making! π€π§
This project provides an implementation of the Analytic Hierarchy Process (AHP) algorithm with a user-friendly interface.
A comprehensive Power BI project analysing healthcare industry data, exploring patient demographics, hospital performance, and payer-provider dynamics through interactive visualizations & made executive summary report that provide actionable insights for strategic decision-making.
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