image processing and pattern recognition
Using Monte-Carlo simulation in order to find the optimal portfolio weights according to several criteras (Sharpe ratio, max drawdown, mean-variance).
I used Cross Entropy methods as an alternative to reinforcement learning methods to search policy space for the optimal policy where there is no assumption about the structure of the problem for both continuous and discrete space tasks in OpenAI gym.
CySecTool is a tool that finds a cost-optimal security controls portfolio in a given budget for a probabilistic attack graph.
These are 10 of the most utilized data structures and algorithm problems with solutions that minimize iterations and buffer storage space in order to optimize space and time complexity. Please remove the documentation tags represented by ' ' ' which preceed and succeed the desired function to run and test the function on a Python 3.6.1 interpreter.
A python implementation of NSGA-II multi-objective optimization algorithm.
Desktop application that obtain the best route possible visiting all nodes with the least time possible using coordinates extracted from a text file.
Optimization techniques from scratch just using NumPy.
Flexible parameter scheduler that can be implemented with proprietary and open source optimizers.
Example of the implementation of Adam Gradient Descent optimization algorithm on a simple convex function.
This is a mid-term project of Optimization Methods, a course of Institute of Data Science, National Cheng Kung University. This project aimed to construct the linear regression with L1 regularization and the logistic regression with L1 regularization.
Heuristic Dimension Reduction using K-nn and comparison.
Convex Optimization for Optimal & Robust Control Design @ CU-ICAR
Group data and merge pipeline operations to significantly reduce overhead. Suitable for high-load microservices, serverless, NLP and neural networks.
An autoregressive character-level language model for making more things. Modified to allow hyperparameter tuning.
This is a framework for Automated Supervisory Optimization (ASO) with built-in BACnet methods.
🔥 IEEE 2024 (Niagara Falls, Canada) - ICME Grand Challenges 🥈
SwarmFish -- The Artificial Fish Swarm Algorithm (AFSA)
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