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.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
TensorFlow Lite models for MIRNet for low-light image enhancement.
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.
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
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.
Brain Computer Interface to drive car using brain.
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.