Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
- single-cell
- scrna-seq
- scatac-seq
- deep-neural-networks
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Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
💸 Papers and Code Implements for Quantitative-Trading
Agentic LLM CTF to test prompt injection attacks and preventions
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CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Using a Kalman Filter to interpolate bus position based on periodic measurements
Sources for the Network Science Cheatsheets
Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
Signal generators ( AD9833, AD9834, AD9850, ADF4351) tools box.
A multi-language tokenizer for extracting identifiers from source code.
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
Graviton: verify your TEAL program by experiment and observation
Slides and materials for various talks I've given
:snake: Python Implementation for KITTI Scan Unfolding
Collection of ASR models for English TFLite models for faster inference.
Investigating multilingual language models (BERT) by using them for NER in German and English
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Clock generators ( Si5351 for now ) toolbox.
GTFS Data Pipeline for TfNSW Bus Datasets
Single Image Random Dot Stereogram for Tensorflow
An Icon classifier made with TFLite Model Maker and deployed to Android with ML Model Binding.