semvec/pypi-packages huggingface dataset:
savprogram 0.0.1
A library with different Machine Learning Algorithms: Hill Climbing, Simulated Annealing, Brute Force, and A star search
Keywords: ai algorithms

This program includes Machine Learning Algorithms: Hill Climbing, Simulated Annealing, Brute Force and A*Search.

Hill Climbing
Hill climibing is a widely used optimization algorithm in Artificial Intelligence that helps find the best possible solution to a given problem.
As part of the local search algorithms family, it is often applied to optimization problems where the goal is to idenitfy the optimal solution from a set of potential candidates.

Simulated Annealing 
Simulated annealing (SA) is a probabilistic technique for approximating the global optimum of a given function. Specifically, it is a metaheuristic to approximate global optimization problem.
For large numbers of optima, SA can find the global optimum. It is often used when the search space is discrete. For finding problems where finding an approximate global optimum is more important 
than finding a precise local optimum in a fixed amount of time, simulated annealing may be prederable to exact algorithms such as gradient descent or branch and bound. 

Brute Force
Brute force algorithm is a simple, comprehensive search strategy that systematically explores every option until a problem's answer is discovered. It's a generic approach to problem-solving that's
employed when the issue is small enough to make an in-depth investigation possible. However, because of their temporal complexity, brute force techniques are inefficient for large-scale issues.

A*Search
A*Search algorithm is one of the best and popular technique used in path-finding and graph traversals. Informally speaking, A*search algorithms, unlike other traversal techniques, it has "brains".
What it means is that it is really a smart algorithm which separates it from the other conventional algorithms.
mindgraph 2025.3.1.1
Mindgraph: A Python package for modeling knowledge as graphs.

# MindGraph 🧠


## Overview


## Contributing

We welcome contributions to the Atlantis framework. Please refer to the contributing guidelines for more information.

## License

This project is licensed under the **Conditional Freedom License (CFL-1.0)**. 

### Usage Restrictions

This software **may NOT** be used, modified, or distributed by:

- Entities opposing women's reproductive rights.
- Entities opposing LGBTQ+ rights.
- Organizations advocating for tariffs and sanctions against Canada.
- Political parties, think tanks, and advocacy groups that support authoritarianism, white supremacy, or fascism.
- Individuals and businesses affiliated with Donald Trump or his political organizations.
- Companies and organizations that deny or obstruct climate science or promote climate disinformation.
- Media outlets that propagate hate speech, conspiracy theories, or extreme political propaganda.
- Companies profiting from war, mass surveillance, and militarization.

For more details, please refer to the LICENSE file.