kyegomez/CogNetX
CogNetX is an advanced, multimodal neural network architecture inspired by human cognition. It integrates speech, vision, and video processing into one unified framework.
Built on PyTorch, the architecture combines Conformers for speech, ResNet50 for vision, 3D CNNs for video, and Transformers for text generation, with modular design enabling easy extension to additional modalities. The framework accepts multimodal inputs (Mel-filterbank features, RGB images, and video sequences) and produces unified text outputs through a shared fusion layer. CogNetX is designed as a pluggable pipeline supporting both inference and training workflows with configurable encoder/decoder dimensions and attention heads.
Available on PyPI.
Stars
20
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Monthly downloads
12
Commits (30d)
0
Dependencies
4
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