Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
☆105Feb 19, 2020Updated 6 years ago
Alternatives and similar repositories for analyzing_inverse_problems
Users that are interested in analyzing_inverse_problems are comparing it to the libraries listed below
Sorting:
- Normalizing-flow Invertible Neural Networks (TensorFlow2+Keras)☆47Sep 28, 2025Updated 4 months ago
- Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methods☆13Feb 11, 2021Updated 5 years ago
- Framework for Easily Invertible Architectures☆849Jul 3, 2024Updated last year
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆102Sep 3, 2020Updated 5 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆22Feb 11, 2021Updated 5 years ago
- Results of my master thesis. Conditional invertible neural networks in the freia framework were used to dertermine the CO2 concentration …☆10Jan 12, 2020Updated 6 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- Introduction to Machine Learning using scikit-learn and PyTorch☆10Sep 26, 2019Updated 6 years ago
- ☆22May 28, 2024Updated last year
- A python/pytorch package for invertible neural networks☆70Jun 19, 2023Updated 2 years ago
- ☆10May 22, 2023Updated 2 years ago
- NOMU: Neural Optimization-based Model Uncertainty☆10Feb 17, 2023Updated 3 years ago
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Nov 22, 2022Updated 3 years ago
- Invertible neural network for gravitational wave parameter estimation☆11Nov 22, 2022Updated 3 years ago
- Soft Actor Critic for training musculoskeletal models☆19Nov 11, 2025Updated 3 months ago
- TensorFlow experiment codes of XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning (FL' ICML 2020)☆13Aug 10, 2020Updated 5 years ago
- Inverse materials design via invertible neural networks☆65Mar 20, 2023Updated 2 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Sep 27, 2021Updated 4 years ago
- A robust, easy-to-deploy non-uniform Fast Fourier Transform in TensorFlow.☆32Apr 13, 2023Updated 2 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Sep 7, 2021Updated 4 years ago
- Glow and RealNVP with tensorflow 2.0 and tensorflow probability☆31Nov 21, 2022Updated 3 years ago
- Normalizing flows in PyTorch☆992Dec 27, 2024Updated last year
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Sep 30, 2022Updated 3 years ago
- Meta learning for generative models.☆16Jul 24, 2019Updated 6 years ago
- Scripts to reproduce experiments for k-space preconditioning☆19Sep 22, 2020Updated 5 years ago
- ☆15Dec 2, 2019Updated 6 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 3 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆44Nov 25, 2024Updated last year
- Vector Quantile Regression☆19Apr 3, 2025Updated 10 months ago
- The source code for "Deep transfer learning for conditional shift in regression"☆19Jun 16, 2021Updated 4 years ago
- A Disentangling Invertible Interpretation Network☆123May 12, 2021Updated 4 years ago
- [AAAI-2025] Plug-and-Play Tri-Branch Invertible Block for Image Rescaling☆24Aug 5, 2025Updated 6 months ago
- Bayesian Optimization with Density-Ratio Estimation☆24Dec 26, 2022Updated 3 years ago
- Baselines for Model-Based Optimization☆55Jan 23, 2022Updated 4 years ago
- Code for the paper ICCV'19 "Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning"☆19Nov 11, 2019Updated 6 years ago
- Random feature latent variable models in Python☆23Jul 23, 2023Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆22Dec 30, 2021Updated 4 years ago
- ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.☆21Jul 25, 2024Updated last year
- Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)☆20Oct 1, 2021Updated 4 years ago