BANTAI Kecia SDK (v2.0.0)
A Next-Generation Deep Learning Framework Simulating Diamond-Glass Hybrid Photonic Chips.
BANTAI Kecia is a highly optimized, C++ backed Python SDK designed to simulate the physics and computational mechanics of Photonic Neural Networks. Built for the future of AI hardware, it introduces a 3-tier execution architecture, custom physical thermal noise modeling, and dynamic 5D Glass Memory states.
🌟 Core Features
- ⚡ C++ Photonic Core: Heavy matrix computations are routed through a high-performance C++ backend (
pybind11), bypassing Python's GIL. - 🧠 Built-in Autograd Engine: Complete forward and backward pass implementation featuring Custom SGD, Leaky ReLU, and dying-neuron prevention.
- 🔥 Thermal Simulation: Real-world physics injection simulating hardware temperature fluctuations and phase-shifter precision errors.
- 💾 5D Glass Memory: Advanced multi-dimensional state tracking for temporal and spatial data storage.
- 🔄 3-Tier Hardware Fallback: Automatic environment scanning and execution routing (
Photonic Hardware➔CUDA➔High-Performance CPU).
📦 Installation
BANTAI Kecia is available on PyPI. Install it instantly using pip:
pip install bantai-kecia
1 maintainer
Metadata
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Release files for bantai-kecia 2.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| bantai_kecia-2.0.1.tar.gz | 26.7 kB | Without provenance | Details for bantai_kecia-2.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bantai_kecia-2.0.1-cp313-cp313-win_amd64.whl | CPython 3.13 | CPython 3.13 | Windows x86-64 | Details for bantai_kecia-2.0.1-cp313-cp313-win_amd64.whl |
Total release size: 152.7 kB
Release files / bantai_kecia-2.0.1.tar.gz
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Release files / bantai_kecia-2.0.1-cp313-cp313-win_amd64.whl
| Download URL | bantai_kecia-2.0.1-cp313-cp313-win_amd64.whl |
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| Size | 126.1 kB |
| Tags | CPython 3.13 Windows x86-64 |
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