cosgriffc's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
tonsky/FiraCode
Free monospaced font with programming ligatures
google/yapf
A formatter for Python files
py-why/EconML
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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
sdushantha/tmpmail
A temporary email right from your terminal written in POSIX sh
jorisschellekens/borb
borb is a library for reading, creating and manipulating PDF files in python.
linkedin/greykite
A flexible, intuitive and fast forecasting library
dair-ai/Transformers-Recipe
🧠 A study guide to learn about Transformers
gkaramanis/tidytuesday
Code and plots for submissions to the #tidytuesday challenge
owkin/PyDESeq2
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
hbctraining/scRNA-seq_online
Machine-Learning-Tokyo/Math_resources
benmiroglio/pymatch
MIT-LCP/mimic-iv
Deprecated. For the latest MIMIC-IV code, please refer to: https://github.com/MIT-LCP/mimic-code
tompollard/tableone
Create "Table 1" for research papers in Python
openpharma/mmrm
Mixed Models for Repeated Measures (MMRM) in R.
jaksi/leviathan
Linux kernel module to control and monitor NZXT liquid coolers
KevinMenden/scaden
Deep Learning based cell composition analysis with Scaden.
alistairewj/mimic-iv-aline-study
Replication of the arterial line study in MIMIC-IV
Labo-Lacourse/stepmix
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 missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.
chjackson/msm
The msm R package for continuous-time multi-state modelling of panel data
dasirra/latent-class-analysis
LCA implementation for python
kaz-yos/regmedint
R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis
emmijokinen/TCRconv
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.
beamlab-hsph/journalclub
Reading great papers in the history of artificial intelligence and machine learning
project-medid/project-medid
lbulgarelli/calibration
Package for assessment of calibration in binomial prediction models.
AartikSarma/ARDSPhenotypes
reactome/analysis-core
Pathway enrichment and expression analysis as well as species comparison tool
lbulgarelli/ventilator-free-days
Data extraction for the analysis of ventilator-free-days.