Heterogeneous Python Packages

babitmf

Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.

babitmf-gpu

Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.

cyberx

Distributed Computing Framework.

openhgnn

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

pyhhmm

Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.

hhmmexperiments

Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.

hhmmtest

Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.

testopenhgnn

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

openhgnn-zihao

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.