Visualizer for neural network, deep learning and machine learning models

A lightweight face-recognition toolbox and pipeline based on tensorflow-lite

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.

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.

Energy Management Using Real-Time Non-Intrusive Load Monitoring

Navigation and Obstacle Detection for Visually Impaired - FYP

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

an architecture for neural network inference in real-time audio applications

使用CameraX，实现拍照、录制视频、mlkit 人脸检测等，适配Android10以上存储，可以快速集成实现自己的相机。TensorFlow Lite 面部识别 输出特征点，相似度计算 等

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.

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

NNtrainer is Software Framework for Training Neural Network Models on Devices.

A Raspberry Pi camera for taking pictures using object detection.

AsanaAi extends its reach to Android devices, offering users the convenience of fitness and wellness on the go. Leveraging TensorFlow Lite for pose estimation and K-means clustering for accurate exercise counting, the Android app ensures seamless integration of AI technologies into users' daily routines, making fitness more accessible and engaging

A machine learning project created in Flutter using Firebase, Rest Api , MongoDB and Provider.

Computer Vision system for identifying 3D-objects and identifying colors using Deep Learning and OpenCV. Made for SLRC 2024.

DiNeSys is a distributed system built for deep learning network profiling on cloud-edge systems, developed with Tensorflow (CNN computational part) Apache Thrift (client/server structure)

Pytorch to Keras/Tensorflow conversion made intuitive

Emgu TF is a cross platform .Net wrapper for the Google Tensorflow library. Allows Tensorflow functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython.

An android application to classify 7 different types of skin cancers built by integrating a CNN-RF ensemble Deep Learning model using Kotlin.