Visualizer for neural network, deep learning and machine learning models
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Updated
Jun 15, 2024 - JavaScript
Visualizer for neural network, deep learning and machine learning models
Neural network inference template for real-time cricital audio environments - presented at ADC23
an architecture for neural network inference in real-time audio applications
Yocto layer for TensorFlow Lite interpreter with Python / C++.
A video call apps to enable deaf people to communicate with normal people using sign language recognition and speech-to-text
Pytorch to Keras/Tensorflow/TFLite conversion made intuitive
An Android app where users draw a number and machine learning does the rest
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.
A device to monitor your plant's needs such as soil moisture, nutrients, and harvest time!
Recipe Scaler is an Android app that utilizes OCR and a TensorFlow Lite model for Named Entity Recognition (NER) to extract and scale recipe ingredients from text or images.
Official repository of my Master's Thesis project: "Developing an AI-Powered Voice Assistant for an iOS Payment App"
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.
NNtrainer is Software Framework for Training Neural Network Models on Devices.
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.
Speech Recognition using STM32 and Machine Learning
Go binding for TensorFlow Lite
A TensorFlow Lite object detection prototype using the COCO-SSD-Mobile-Net model.
The Learning and Experiencing Cycle Interface (LExCI).
HVACGraphicsClassifier is an experimental tinyML project aimed at classifying HVAC control system graphics using computer vision. A project goal from the start is support of Tiny ML Micro, allowing models to be quantized to run on microcontrollers with the TensorFlow C library.
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