Commit e2403ea
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- themes
- autogenerated/list_of_examples
- categories
- _cache
- Advanced Examples
- Active Inference Mountain car
- Advanced Tutorial
- Assessing People Skills
- Bayesian Structured Time Series
- Chance Constraints
- Conjugate-Computational Variational Message Passing
- Drone Dynamics
- GP Regression by SSM
- Global Parameter Optimisation
- Infinite Data Stream
- Integrating Neural Networks with Flux.jl
- Learning Dynamics with VAEs
- Multi-agent Trajectory Planning
- Nonlinear Sensor Fusion
- Parameter Optimisation with Optim.jl
- Robotic Arm
- Basic Examples
- Bayesian Binomial Regression
- Bayesian Linear Regression
- Bayesian Multinomial Regression
- Bayesian Networks
- Coin Toss Model
- Contextual Bandits
- Feature Functions in Bayesian Regression
- Forgetting Factors for Online Inference
- Hidden Markov Model
- Incomplete Data
- Kalman filtering and smoothing
- POMDP Control
- Predicting Bike Rental Demand
- Experimental Examples
- Bayesian Trust Learning
- Large Language Models
- Latent Vector Autoregressive Model
- Recurrent Switching Linear Dynamical System
- Problem Specific
- Autoregressive Models
- Gamma Mixture
- Gaussian Mixture
- Hierarchical Gaussian Filter
- Invertible Neural Network Tutorial
- Ising Model
- Litter Model
- ODE Parameter Estimation
- Probit Model
- RTS vs BIFM Smoothing
- Simple Nonlinear Node
- Structural Dynamics with Augmented Kalman Filter
- Universal Mixtures
- advanced_examples
- active_inference_mountain_car
- advanced_tutorial
- assessing_people_skills
- bayesian_structured_time_series
- chance_constraints
- conjugate-computational_variational_message_passing
- drone_dynamics
- global_parameter_optimisation
- nn_prediction
- gp_regression_by_ssm
- infinite_data_stream
- integrating_neural_networks_with_flux.jl
- learning_dynamics_with_vaes
- multi-agent_trajectory_planning
- nonlinear_sensor_fusion
- parameter_optimisation_with_optim.jl
- robotic_arm
- basic_examples
- bayesian_binomial_regression
- bayesian_linear_regression
- bayesian_multinomial_regression
- bayesian_networks
- coin_toss_model
- contextual_bandits
- feature_functions_in_bayesian_regression
- forgetting_factors_for_online_inference
- incomplete_data
- kalman_filtering_and_smoothing
- pomdp_control
- predicting_bike_rental_demand
- experimental_examples
- bayesian_trust_learning
- large_language_models
- latent_vector_autoregressive_model
- recurrent_switching_linear_dynamical_system
- problem_specific
- autoregressive_models
- gamma_mixture
- gaussian_mixture
- hierarchical_gaussian_filter
- invertible_neural_network_tutorial
- ising_model
- litter_model
- ode_parameter_estimation
- probit_model
- rts_vs_bifm_smoothing
- simple_nonlinear_node
- structural_dynamics_with_augmented_kalman_filter
- universal_mixtures
- how_build_works
- how_to_contribute
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