Scalable toolkit for efficient model alignment

A small library of LLM judges

BioNeMo Framework: For building and adapting AI models in drug discovery at scale

Official implementation of ICML'24 paper "Offline Multi-Objective Optimization".

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Reinforcement Learning based Artificial Pancreas Systems for Controlling Blood Glucose in Type 1 Diabetes.

Code and models for Paper RadBERT: Adapting transformer-based language models to radiology

A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

Code for the MedRAG toolkit

[NeurIPS'19] Deep Equilibrium Models

Source code for Generative Adversarial Bayesian Optimization (GABO) for Surrogate Objectives

Introduction to Machine Learning Systems

A new framework to transform any neural networks into an interpretable concept-bottleneck-model (CBM) without needing labeled concept data

CHOP project to create templates

95.47% on CIFAR10 with PyTorch

Compare neural networks by their feature similarity

PyTorch implementation of adversarial attacks [torchattacks]

Generate numerical phantoms.

Active Acquisition for fastMRI

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Latex code for making neural networks diagrams

Publication-ready NN-architecture schematics.

Python ESPIRiT implementation.

A library for distributed ML training with PyTorch