Materials for GWU DNSC 6279 and DNSC 6290.
- data-science
- data-mining
- data-visualization
- machine-learning
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Materials for GWU DNSC 6279 and DNSC 6290.
ChatGPT Python Applications integrated with third party libraries and modules
Repository for Nicheformer: a foundation model for single-cell and spatial omics
Optimising chemical reactions using machine learning
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Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
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
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.
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.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Exercises for the lecture "Selected Topics in Audio Signal Processing"
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
Slides and materials for various talks I've given
Investigating multilingual language models (BERT) by using them for NER in German and English
A demonstration tutorial of using aiida-quantumespresso