Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"
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Updated
Jun 11, 2021 - Python
Code for "GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data"
Python class for Image Processing and Gamma Ray detection using OpenCV, PIL and NumPy libraries
Genetic algorithm implementation to solve the famous NP-hard problem - The Travelling Salesman
A Python Implemented Cryptographic Algorithm Which Utilizes Public, Private Key Cryptography to Provide Congruent Super-Increasing Sets for Encryption of Data. This Algorithm relies on the SUBSET-SUM Problems NP Difficulty.
This project was made aiming to compare the performance of some of the most used NP problems with ML models.
Temperature Dependence Analysis to generate CSV's of given cell test data
AI + API for Tic-Tac-Toe
Solution to an NP Problem - multiple robots navigating obstacles - with simulation
Implemented divide-and-conquer algorithms, graph decomposition, paths in graphs, greedy algorithms, dynamic programming, linear programming, the theory of NP-completeness, and approaches to coping with NP-complete problems.
Algorithmic solvers for popular NYT word puzzles
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