TFLite support for TensorFlow.js
TFLite model parser - extracts graph structure from .tflite flatbuffer files
TFLite NodeJS support for TensorFlow.js
High-performance TensorFlow Lite library for React Native, built with Nitro Modules
A Simple Library That Helps You Run TFLite Models in the Browser.
AI-ready image preprocessing for React Native: zero-copy image → tensor conversion with strong YOLO/TFLite defaults.
In-browser microWakeWord detection. Loads .tflite models, captures the microphone, and emits wake-word events.
Updated version of tflite-react-native for personal use.
A package to smooth object detection results, from tflite model output
tflite for react-native
Avatar WebKit TFLite WASM
TFlite sub-module compiled with emscripten as web assembly module
A tflite delegate for using Coral accelerators.
Offline TFLite cattle breed detection for React Native
TensorFlow Lite bindings for Node.js
Custom TFLite-based face recognition plugin for Capacitor
Convert ML models (.onnx, .tflite) into ready-to-run WebNN API JavaScript/TypeScript code
A tflite delegate based on Web Neural Network API (WebNN API).
DVAI-Bridge Android LiteRT core — wraps Google's LiteRT (TFLite) runtime with HuggingFace tokenizers, exposes the OpenAI-compatible HTTP surface via android-shared-core. Capacitor-free.
Homebridge doorbell plugin with sound detection — FFT fingerprint + ML (YAMNet/TFLite) on RPi 4
Real-time gesture recognition from BLE IMU sensors — threshold, DTW template matching, and TFLite/ONNX ML inference
Run TensorFlow Lite models in React Native Android apps
High-performance TensorFlow Lite library for React Native
A react native library for accessing TensorFlow Lite API. Supports Classification and Object Detection on both iOS and Android.
Rust bindings for TensorFlow Lite
Ergonomic Rust API for TensorFlow Lite with DMABUF zero-copy and NPU preprocessing
Low-level FFI bindings for the TensorFlow Lite C API with runtime symbol loading
Rust bindings for TensorFlow Lite C API
Procedural macro for ember-rs: parses TFLite flatbuffer at compile time and generates backend-dispatched inference code
Tiny, no-nonsense, self contained, TensorFlow and ONNX inference
CLI to scaffold production-ready FastAPI ML APIs
Safe, idiomatic Rust bindings to Google's LiteRT (TFLite) on-device ML runtime.
Raw FFI bindings to Google's LiteRT (TFLite) C API.
Core KernelBackend trait for ember-rs embedded INT8 inference engine
Pure Rust reference backend for ember-rs embedded INT8 inference engine
LiteRT backend boundary for Reflow ML actors; optional real LiteRT adapter behind a feature flag.
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