🤗 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.

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Mixed Models for Repeated Measures (MMRM) in R.

Read, modify and write DICOM files with python code

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…

Code and plots for submissions to the #tidytuesday challenge

borb is a library for reading, creating and manipulating PDF files in python.

A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.

Unsupervised Learning for Image Registration

A formatter for Python files

Free monospaced font with programming ligatures

R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis

Pathway enrichment and expression analysis as well as species comparison tool

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

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…

The msm R package for continuous-time multi-state modelling of panel data

Create "Table 1" for research papers in Python

A flexible, intuitive and fast forecasting library

Deep Learning based cell composition analysis with Scaden.

A temporary email right from your terminal written in POSIX sh

Package for assessment of calibration in binomial prediction models.

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

A collection of Bayesian data analysis recipes using PyMC3

Data Science Using Python

Evaluating methods to improve model transfer for intensive care unit models

🧠 A study guide to learn about Transformers