aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
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Download Latest Version (.zip)- docs.yml
- notebooks-to-py.yml
- tests.yml
- __init__.py
- agents.py
- csp.py
- deep_learning.py
- game_theory.py
- games.py
- ipyviews.py
- knowledge.py
- learning.py
- logic.py
- making_simple_decisions.py
- mdp.py
- nlp.py
- notebook_utils.py
- perception.py
- planning.py
- probabilistic_learning.py
- probability.py
- reinforcement_learning.py
- search.py
- text.py
- utils.py
- agents.rst
- conf.py
- csp.rst
- games.rst
- index.rst
- language.rst
- learning.rst
- logic.rst
- planning.rst
- probability.rst
- requirements.txt
- searching.rst
- utils.rst
- eight_puzzle.py
- genetic_algorithm_example.py
- grid_mdp.py
- romania_problem.py
- tic-tac-toe.py
- tsp.py
- vacuum_agent.py
- xy_vacuum_environment.py
- -0.04.jpg
- -0.4.jpg
- -4.jpg
- 4.jpg
- aima3e_big.jpg
- aima_logo.png
- bayesnet.png
- broxrevised.png
- cake_graph.jpg
- decisiontree_fruit.jpg
- dirt.svg
- dirt05-icon.jpg
- ensemble_learner.jpg
- fig_5_2.png
- ge0.jpg
- ge1.jpg
- ge2.jpg
- ge4.jpg
- general_learning_agent.jpg
- grid_mdp.jpg
- grid_mdp_agent.jpg
- hillclimb-tsp.png
- IMAGE-CREDITS
- knn_plot.png
- knowledge_foil_family.png
- knowledge_foil_grandparent.png
- makefile
- maze.png
- mdp-a.png
- mdp-b.png
- mdp-c.png
- mdp-d.png
- mdp.png
- model_based_reflex_agent.jpg
- model_goal_based_agent.jpg
- model_utility_based_agent.jpg
- neural_net.png
- parse_tree.png
- perceptron.png
- plurality_learner_plot.png
- point_crossover.png
- pop.jpg
- queen_s.png
- random_forest.png
- refinement.png
- restaurant.png
- romania_map.png
- search_animal.svg
- simple_problem_solving_agent.jpg
- simple_reflex_agent.jpg
- sprinklernet.jpg
- stapler1-test.png
- uniform_crossover.png
- vacuum-icon.jpg
- vacuum.svg
- wall-icon.jpg
- canvas.js
- continuousworld.js
- gridworld.js
- agents.ipynb
- csp.ipynb
- game_theory.ipynb
- games.ipynb
- knowledge.ipynb
- learning.ipynb
- logic.ipynb
- mdp.ipynb
- nlp.ipynb
- planning.ipynb
- probability.ipynb
- reinforcement_learning.ipynb
- search.ipynb
- text.ipynb
- Welcome.ipynb
- build.sh
- jupyter-lite.json
- jupyter_lite_config.json
- README.md
- requirements-lite.txt
- verify_browser.py
- -0.04.jpg
- -0.4.jpg
- -4.jpg
- 4.jpg
- grid_mdp.jpg
- grid_mdp_agent.jpg
- maze.png
- mdp-a.png
- mdp-b.png
- mdp-c.png
- mdp-d.png
- mdp.png
- Algorithms for MDPs.ipynb
- Algorithms for MDPs.py
- Introduction.ipynb
- Introduction.py
- MDPs.ipynb
- MDPs.py
- Partially Observable MDP.ipynb
- Partially Observable MDP.py
- Sequential Decision Problems.ipynb
- Sequential Decision Problems.py
- decisiontree_fruit.jpg
- ensemble_learner.jpg
- knn_plot.png
- random_forest.png
- Datasets.ipynb
- Datasets.py
- Decision Tree.ipynb
- Decision Tree.py
- Ensemble Learning.ipynb
- Ensemble Learning.py
- Linear and Nonparametric Models.ipynb
- Linear and Nonparametric Models.py
- autoencoder.png
- backprop.png
- corss_entropy_plot.png
- mse_plot.png
- nn.png
- nn_steps.png
- perceptron.png
- rnn_connections.png
- rnn_unit.png
- rnn_units.png
- vanilla.png
- Learners.ipynb
- Learners.py
- Loss Functions and Layers.ipynb
- Loss Functions and Layers.py
- Optimizer and Backpropagation.ipynb
- Optimizer and Backpropagation.py
- RNN.ipynb
- RNN.py
- mdp.png
- Active Reinforcement Learning.ipynb
- Active Reinforcement Learning.py
- Passive Reinforcement Learning.ipynb
- Passive Reinforcement Learning.py
- parse_tree.png
- Grammar.ipynb
- Grammar.py
- Introduction.ipynb
- Introduction.py
- nlp_apps.ipynb
- nlp_apps.py
- Parsing.ipynb
- Parsing.py
- derivative_of_gaussian.png
- gradients.png
- laplacian.png
- laplacian_kernels.png
- RCNN.png
- stapler.png
- stapler_bbox.png
- Image Edge Detection.ipynb
- Image Edge Detection.py
- Image Segmentation.ipynb
- Image Segmentation.py
- Objects in Images.ipynb
- Objects in Images.py
- agents.ipynb
- agents.py
- arc_consistency_heuristics.ipynb
- arc_consistency_heuristics.py
- bootstrap.ipynb
- bootstrap.py
- classical_planning_approaches.ipynb
- classical_planning_approaches.py
- csp.ipynb
- csp.py
- dynamic_decision_network.ipynb
- dynamic_decision_network.py
- expectation_maximization.ipynb
- expectation_maximization.py
- game_theory.ipynb
- game_theory.py
- games.ipynb
- games.py
- improving_sat_algorithms.ipynb
- improving_sat_algorithms.py
- index.ipynb
- index.py
- intro.ipynb
- intro.py
- kalman_filter.ipynb
- kalman_filter.py
- knowledge_current_best.ipynb
- knowledge_current_best.py
- knowledge_foil.ipynb
- knowledge_foil.py
- knowledge_version_space.ipynb
- knowledge_version_space.py
- learning.ipynb
- learning.py
- learning_apps.ipynb
- learning_apps.py
- logic.ipynb
- logic.py
- mdp.ipynb
- mdp.py
- mdp_apps.ipynb
- mdp_apps.py
- neural_nets.ipynb
- neural_nets.py
- nlp.ipynb
- nlp.py
- nlp_apps.ipynb
- nlp_apps.py
- planning.ipynb
- planning.py
- planning_angelic_search.ipynb
- planning_angelic_search.py
- planning_graph_plan.ipynb
- planning_graph_plan.py
- planning_hierarchical_search.ipynb
- planning_hierarchical_search.py
- planning_partial_order_planner.ipynb
- planning_partial_order_planner.py
- planning_total_order_planner.ipynb
- planning_total_order_planner.py
- probability.ipynb
- probability.py
- reinforcement_learning.ipynb
- reinforcement_learning.py
- sarsa.ipynb
- sarsa.py
- search.ipynb
- search.py
- text.ipynb
- text.py
- vacuum_world.ipynb
- vacuum_world.py
- viterbi_algorithm.ipynb
- viterbi_algorithm.py
- __init__.py
- pytest.ini
- test_agents.py
- test_csp.py
- test_deep_learning.py
- test_game_theory.py
- test_games.py
- test_graphplan.py
- test_knowledge.py
- test_learning.py
- test_logic.py
- test_mdp.py
- test_nlp.py
- test_perception.py
- test_planning.py
- test_probabilistic_learning.py
- test_probability.py
- test_reinforcement_learning.py
- test_search.py
- test_text.py
- test_utils.py
- .coveragerc
- .flake8
- .gitignore
- .gitmodules
- aima-data
- CONTRIBUTING.md
- LICENSE
- pyproject.toml
- pytest.ini
- README.md
- requirements.txt
- SUBMODULE.md
// repository documentation
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