ML models + benchmark for tabular data classification and regression

Competing Risks and Survival Analysis

Making your benchmark of optimization algorithms simple and open

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

Repository for code used in the xVal paper

scikit-learn: machine learning in Python

The hub for EleutherAI's work on interpretability and learning dynamics

The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"

Official implementation of the TabPFN and the tabpfn package.

Machine learning on dirty tabular data

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Tools for understanding how transformer predictions are built layer-by-layer

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

⚡ Building applications with LLMs through composability ⚡

Locating and editing factual associations in GPT (NeurIPS 2022)

Machine Learning for Alignment Bootcamp