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
An interactive Quiz generator for Jupyter notebooks and Jupyter Book
🏃 The go-to single-cell Foundation Model
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
⬛ Python Individual Conditional Expectation Plot Toolbox
Tools for pen plotting in Python
Optimising chemical reactions using machine learning
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Quantitative Economics
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
The repository host gives no description.
TensorFlow Lite models for MIRNet for low-light image enhancement.
General Modeling Network Specification
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
GeneCompass
A TensorFlow implementation of the Mnemonic Descent Method.
How to create a Cartoonizer Android app with TensorFlow Lite models.
Integrated pipeline for multiplexed image analysis
This repository is to create tflite models for the available ocr models
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
tutorials made for biologists to learn deep learning
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)