This is a model-driven approach to handling form inputs and validations, heavily inspired in Angular's Reactive Forms
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PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated) │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image │ generation.
MIRNet model is used to enhance a low-light image. Implemented MIR-Net model with TF-Lite.
- tflite
- mirnet
- tensorflow2
- tfhub