Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"

Design and analyze optimal deep learning models.

Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature

Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax

Automate file origin tracking in your projects

A Survey on Data Selection for Language Models

Extract full next-token probabilities via language model APIs

Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)

The simplest, fastest repository for training/finetuning medium-sized GPTs.

PyTorch implementation of AlphaZero Chess from scratch

Influence Analysis and Estimation - Survey, Papers, and Taxonomy

Raising the Cost of Malicious AI-Powered Image Editing

A simple PyTorch implementation of influence functions.

A fast, effective data attribution method for neural networks in PyTorch

Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation

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

Efficient empirical NTKs in PyTorch

ModelDiff: A Framework for Comparing Learning Algorithms

Python library for argument and configuration management

Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability (CVPR 2023)

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Distributionally robust neural networks for group shifts

Identifying diseases in chest X-rays using convolutional neural networks