Go ahead and axolotl questions

Robust recipes for to align language models with human and AI preferences

Fork of Universalizing Weak Supervision (ICLR 2022) for EHR Benchmarking Project

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

Tools for curating biomedical training data for large-scale language modeling

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A markdown version emoji cheat sheet

Extension of Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)

A Python Library for Healthcare Predictive Tasks, Extended for MIMIC-ED

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Fork of code repo for "Lifting Weak Supervision To Structured Prediction"

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Generalized Random Forests

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Implementation of the Benchmark Approaches for Medical Instructional Video Classification (MedVidCL) and Medical Video Question Answering (MedVidQA)

Linguistic Inquiry and Word Count (LIWC) analyzer

R package to calculate cardiovascular risk scores

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

An extension of XGBoost to probabilistic forecasting.

Snorkel MeTaL: A framework for training models with multi-task weak supervision

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

Some Reinforcement Learning in Python

Construction and Analysis of an Emotion Proposition Store