matplotlab 0.1.0

Extended plotting and ML utilities library

Sohail ML Suite

A comprehensive Machine Learning library containing implementations from university coursework covering:

• Reinforcement Learning (RL) - Monte Carlo, TD Learning, Policy/Value Iteration
• Artificial Neural Networks (ANN) - Deep Learning implementations
• Speech Processing (SP) - Audio signal processing and analysis

Installation

Option 1: Install Only What You Need (Recommended)

# For Reinforcement Learning only (installs numpy, matplotlib, gymnasium)
pip install -e .[rl]

# For Artificial Neural Networks only (installs numpy, matplotlib, + ANN deps)
pip install -e .[ann]

# For Speech Processing only (installs numpy, matplotlib, + Speech deps)
pip install -e .[speech]

# Install everything (all modules)
pip install -e .[all]

Option 2: Minimal Installation (Only numpy)

# Just the base package with numpy
pip install -e .

Quick Start

Reinforcement Learning

from sohail_mlsuite.rl import policy_iteration
import gymnasium as gym

env = gym.make('FrozenLake-v1')
policy, V, iterations = policy_iteration(env, gamma=0.9)
print(f"Converged in {iterations} iterations")

Artificial Neural Networks

# Coming soon

Speech Processing

# Coming soon

Modules

1. Reinforcement Learning (rl)

• Environments: GridWorld, FrozenLake, Taxi
• Algorithms: Monte Carlo, TD(0), Policy Iteration, Value Iteration
• Visualization: Convergence plots, policy visualization

2. Artificial Neural Networks (ann)

• Coming soon

3. Speech Processing (speech)

• Coming soon

Requirements

• Python >= 3.7
• NumPy >= 1.21.0
• Matplotlib >= 3.4.0
• Gymnasium >= 0.28.0 (for RL module)

License

MIT License - Educational purposes

Author

Sohail - University Coursework 2025