Repository Index

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

🏃 The go-to single-cell Foundation Model

• batch-correction
• cell-biology
• celltype-annotation
• denoising

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

• disentanglement
• drug-discovery
• genomics
• perturbation

Optimising chemical reactions using machine learning

• chemistry
• machine-learning
• optimization
• bayesian-optimization

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

• probabilistic-programming
• neural-network
• tensorflow
• keras-tensorflow

TensorFlow Lite models for MIRNet for low-light image enhancement.

• tinyml
• tflite
• tensorflow2
• computer-vision

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.

• tensorflow
• menpo
• face
• face-alignment

How to create a Cartoonizer Android app with TensorFlow Lite models.

• tensorflow-lite
• tflite
• computer-vision
• gans

Integrated pipeline for multiplexed image analysis

• multiplexed-imaging
• python

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

• biologists
• keras
• deeplearning
• deep-learning

Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)

• moloch
• suricata
• monitoring
• nsm

daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.

• daru
• daru-view
• data-visualization
• plot-library

PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.

A database of paths that represent the mechanism of action from a drug to a disease in an indication.

• ncats-translator

How to create Selfie2Anime from tflite model to Android.

• tensorflow-lite
• selfie2anime
• gans
• 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

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

• epigenomics
• pattern-search
• data-visualization
• interactive-machine-learning

Research experiments exploring uncommon quant techniques.

• analysis
• jupyter-notebook
• python
• quant

Exercises for the lecture "Selected Topics in Audio Signal Processing"

Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications

• cell-annotation
• multiplexed-imaging
• mpif