ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
- clinicalbert
- hospital-readmission
- prediction
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ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
F# for Jupyter Notebooks
An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
openvino version of openai/whisper
Repository for Nicheformer: a foundation model for single-cell and spatial omics
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
🏃 The go-to single-cell Foundation Model
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
The repository host gives no description.
General Modeling Network Specification
Docker container for Kafka - Spark Streaming - Cassandra
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
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.
SplineDist: Automated Cell Segmentation with Spline Curves
Exercises for the lecture "Selected Topics in Audio Signal Processing"
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Open Matrix (OMX)
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
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
Signal generators ( AD9833, AD9834, AD9850, ADF4351) tools box.
Compiles Transportation Speed and Ridership Data