Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
- cell-annotation
- multiplexed-imaging
- mpif
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Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
Tools for drawing 2d and 3d interactive visualizations using Jupyter proxy widgets
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Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Mobile Deep Learning Projects, published by Packt
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
Using a Kalman Filter to interpolate bus position based on periodic measurements
Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.
Exploring the space of drug combinations to discover synergistic drugs using Active Learning
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
A multi-language tokenizer for extracting identifiers from source code.
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
A GTFS-based data transit network data standard suitable for dynamic transit modeling.
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
Display Youtube metrics using Google API and MicroPython
Slides and materials for various talks I've given
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Brain Computer Interface to drive car using brain.
:game_die: Neutrino research
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