This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
- tensorflow-2
- tensorflow-lite
- on-device-ml
- model-quantization
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This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
TensorFlow Lite models for MIRNet for low-light image enhancement.
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
A TensorFlow implementation of the Mnemonic Descent Method.
How to create a Cartoonizer Android app with TensorFlow Lite models.
How to create Selfie2Anime from tflite model to Android.
Jupyterlab extension to show notebook cell completion notifications
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.
Single Image Random Dot Stereogram for Tensorflow
🗺 General purpose U-Network implemented in Keras for image segmentation
Comparing the performance of Stacked Ensemble Learning & machine learning algorithms like Random Forest, Decision Tree, Adaboost, Gradient Boost and XGBoost Classifier in Python for Stock Market Trend Prediction.