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TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TCRs and convolutional neural networks for the prediction.
Deep Learning based cell composition analysis with Scaden.
A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missi…
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
🧠A study guide to learn about Transformers
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis
A temporary email right from your terminal written in POSIX sh
borb is a library for reading, creating and manipulating PDF files in python.
LCA implementation for python
Linux kernel module to control and monitor NZXT liquid coolers
Create "Table 1" for research papers in Python
A flexible, intuitive and fast forecasting library
Pathway enrichment and expression analysis as well as species comparison tool
Package for assessment of calibration in binomial prediction models.
Deprecated. For the latest MIMIC-IV code, please refer to: https://github.com/MIT-LCP/mimic-code
Free monospaced font with programming ligatures
Reading great papers in the history of artificial intelligence and machine learning
Replication of the arterial line study in MIMIC-IV
The msm R package for continuous-time multi-state modelling of panel data
Data extraction for the analysis of ventilator-free-days.
Code and plots for submissions to the #tidytuesday challenge
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.