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)
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
Reference mapping for single-cell genomics
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
An OCaml kernel for Jupyter (IPython) notebook
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)
This repository is a collection of TTS Models in TFLite
An interactive Quiz generator for Jupyter notebooks and Jupyter Book
🏃 The go-to single-cell Foundation Model
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
Optimising chemical reactions using machine learning
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.
Detecting cancers on mobile phones
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
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
Tools for drawing 2d and 3d interactive visualizations using Jupyter proxy widgets
Agentic LLM CTF to test prompt injection attacks and preventions
Exploring the space of drug combinations to discover synergistic drugs using Active Learning