This contains my pytorch implementation of Glow from OpenAI.
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Updated
Feb 22, 2019 - Python
This contains my pytorch implementation of Glow from OpenAI.
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.
Project website for 'Estimating "good" variability in speech production using invertible neural networks' (ISSP 2020)
MintNet: Building Invertible Neural Networks with Masked Convolutions
Multi-fidelity Generative Deep Learning Turbulent Flows
Code to reproduce results in "Preconditioned training of normalizing flows for variational inference in inverse problems"
Research project for real-time rendering using Neural Radiance Fields (NeRF) and invertible neural networks (INNs)
RID-Noise: Towards Robust Inverse Design under Noisy Environments
Learning inverse kinematics using invertible neural networks and GANs. Research project for "Advanced Deep Learning for Robotics".
Official PyTorch implementation of "HiNet: Deep Image Hiding by Invertible Network" (ICCV 2021)
Constrained optimization toolkit for PyTorch
Official repository of "DeepMIH: Deep Invertible Network for Multiple Image Hiding", TPAMI 2022.
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
FrEIA sample code
Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
Null-sampling for Interpretable and Fair Representations
Repository for "Inverse Kinematics of Tendon Driven Continuum Robots using Invertible Neural Network" (CompAuto 2022)
A python/pytorch package for invertible neural networks
Code for Transformed Distribution Matching (TDM) for Missing Value Imputation, ICML 2023
[NeurIPS 2022] (Amortized) distributional control for pre-trained generative models
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