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
⬛ 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
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.
How to create a Cartoonizer Android app with TensorFlow Lite models.
This repository is to create tflite models for the available ocr models
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)
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Generate random crop fields for Ignition Gazebo
How to create Selfie2Anime from tflite model to Android.
AuShadha (औषध): Means medicine in Sanskrit. This is a Electronic Medical Records (EMR) and Public Health Management for small clinics written in Django and Dojo
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
SplineDist: Automated Cell Segmentation with Spline Curves
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Research experiments exploring uncommon quant techniques.