PyTorch implementation of normalizing flow models

Constrained optimization toolkit for PyTorch

Official PyTorch implementation of "HiNet: Deep Image Hiding by Invertible Network" (ICCV 2021)

A Julia framework for invertible neural networks

Official repository of "DeepMIH: Deep Invertible Network for Multiple Image Hiding", TPAMI 2022.

[NeurIPS 2022] (Amortized) distributional control for pre-trained generative models

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

A python/pytorch package for invertible neural networks

MintNet: Building Invertible Neural Networks with Masked Convolutions

Multi-fidelity Generative Deep Learning Turbulent Flows

Learning inverse kinematics using invertible neural networks and GANs. Research project for "Advanced Deep Learning for Robotics".

Research project for real-time rendering using Neural Radiance Fields (NeRF) and invertible neural networks (INNs)

Repository for "Inverse Kinematics of Tendon Driven Continuum Robots using Invertible Neural Network" (CompAuto 2022)

Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023

Results of my master thesis. Conditional invertible neural networks in the freia framework were used to dertermine the CO2 concentration using spectra taken by the satellite OCO2.

Null-sampling for Interpretable and Fair Representations

This contains my pytorch implementation of Glow from OpenAI.

RID-Noise: Towards Robust Inverse Design under Noisy Environments

FrEIA sample code

Project website for 'Estimating "good" variability in speech production using invertible neural networks' (ISSP 2020)