TensorFlow Lite models for MIRNet for low-light image enhancement.
- tinyml
- tflite
- tensorflow2
- computer-vision
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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.
Integrated pipeline for multiplexed image analysis
tutorials made for biologists to learn deep learning
TranslatedA tiny Transformer built from scratch in PyTorch, with an English-to-Chinese translation demo | A small Transformer implemented from scratch with PyTorch, with an English-to-Chinese translation demo, to help understand how the model works
Detecting cancers on mobile phones
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.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
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
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Cell and line magic for PGF/TikZ-to-SVG rendering in Jupyter notebooks
Jupyterlab extension to show notebook cell completion notifications
Open Matrix (OMX)
open source E-book on statistical physics
Using a Kalman Filter to interpolate bus position based on periodic measurements
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
Bringing Wardley Map magic to Jupyter notebooks
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.
Graviton: verify your TEAL program by experiment and observation