CoDyBa

CoDyBa stands for Conversational Dynamic Bayesian Networks. It is a machine learning framework for modeling and analyzing dynamical systems that involve human conversations.

CoDyBa provides tools for building dynamic Bayesian network models from conversational data, inferring hidden states and dynamics from observations, generating synthetic conversations, and conducting simulations and analyses on conversation datasets.

CoDyBa has various applications such as analyzing human-human conversations in social interactions, studying conversational dynamics in customer support or call centers, modeling dialogue interactions in chatbots or virtual assistants, and researching communication patterns in online forums or social media platforms.

CoDyBa uses dynamic Bayesian networks to capture the temporal dependencies between conversational states, observations, and hidden variables. It models the conversation as a sequence of dynamic states that evolve over time while incorporating uncertainty in the inference process.

Yes, CoDyBa can handle various types of conversational data including text-based conversations, audio recordings, or multimodal data. It provides flexible methods to preprocess and transform different data formats into appropriate representations for analysis.

CoDyBa is designed to be compatible with popular machine learning libraries such as TensorFlow and PyTorch. Users can integrate CoDyBa with their existing machine learning pipelines by leveraging its APIs and interfaces.

Yes, CoDyBa supports online learning by continuously updating the model as new conversations are observed. This allows the framework to adapt to evolving conversation dynamics in real-time applications.

CoDyBa provides a set of pre-trained models for various conversational domains. These models can be used as a starting point and finetuned on specific datasets, or they can be used directly for inference and analysis.

CoDyBa has comprehensive documentation that includes tutorials, API references, and examples. Additionally, the CoDyBa community provides support through forums and online discussions.

Yes, CoDyBa is an open-source project released under the Apache License 2.0. The source code and documentation are available on its official GitHub repository for users to access, contribute, and customize.