Visualizer for neural network, deep learning and machine learning models

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

🔥🔥🔥色情图片离线识别，基于TensorFlow��现。识别只需20ms,可断网测试，成功率99%，调用只要一行代码，从雅虎的开源项目open_nsfw移植，该模型文件可用于iOS、java、C++等平台

Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.

DELTA is a deep learning based natural language and speech processing platform.

The challenge projects for Inferencing machine learning models on iOS

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

TensorFlow Lite Samples on Unity

Android TensorFlow Lite Machine Learning Example

🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

Real-time portrait segmentation for mobile devices

GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

Android On_device 1:1 Face Recognition And Alive Detect；1:N & M:N Face Search SDK 。 🧒 离线版设备端Android1:1人脸识别动作活体检测，静默活体检测 以及1:N M:N 人脸搜索 SDK 封装

State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.

DistilBERT / GPT-2 for on-device inference thanks to TensorFlow Lite with Android demo apps

Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and fro…

Dual Edge TPU Adapter to use it on a system with single PCIe port on m.2 A/B/E/M slot