Machine learning library for fast and efficient Gaussian mixture models
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Updated
Mar 2, 2022 - C++
Machine learning library for fast and efficient Gaussian mixture models
Event based aperture robust flow
Dynex has also developed a proprietary circuit design, the Dynex Neuromorphic Chip, that complements the Dynex ecosystem and turns any modern G into a neuromorphic computing chip by simulating its equations of motion. This implementation proofs the mathematical model.
Dynex is the world’s only accessible neuromorphic quantum computing cloud for solving real-world problems, at scale.
Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python
Open source SDK to create applications leveraging event-based vision hardware equipment
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