☆11Jul 1, 2021Updated 4 years ago
Alternatives and similar repositories for InFlow
Users that are interested in InFlow are comparing it to the libraries listed below
Sorting:
- Development and evaluation of different approaches for fibre tracking of diffusion weighted MRI data.☆11May 9, 2022Updated 3 years ago
- Introduction to Machine Learning using scikit-learn and PyTorch☆10Sep 26, 2019Updated 6 years ago
- Demo of the TrustworthySearch API☆19Jun 11, 2021Updated 4 years ago
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆22Feb 11, 2021Updated 5 years ago
- ☆28Oct 2, 2023Updated 2 years ago
- ☆22Mar 5, 2020Updated 5 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Apr 12, 2022Updated 3 years ago
- Multivariate polynomial interpolation in Python. This is a mirror of the Minterpy repository. Please do not post issues or pull requests …☆39Sep 30, 2024Updated last year
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 5 years ago
- ☆11Jun 18, 2023Updated 2 years ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Jun 20, 2023Updated 2 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆37May 26, 2021Updated 4 years ago
- Probabilistic Circuits in Julia☆10Dec 27, 2023Updated 2 years ago
- ☆10Jan 28, 2024Updated 2 years ago
- Analyzing Conditional Adversarial Networks to solve image recovery problems like shadow recovery, denoising and deblurring - CVIP 2019☆10Jun 9, 2020Updated 5 years ago
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆11Apr 13, 2023Updated 2 years ago
- ☆12Sep 24, 2024Updated last year
- Prompt-Guided Retrieval For Non-Knowledge-Intensive Tasks☆12Sep 1, 2023Updated 2 years ago
- ☆11Sep 16, 2024Updated last year
- Temporal Predictive Coding For Model-Based Planning In Latent Space (ICML-2021)☆13Jul 22, 2024Updated last year
- Bayesian scaling laws for in-context learning.☆15Mar 12, 2025Updated 11 months ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Oct 12, 2024Updated last year
- 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
- A no-code in-browser ML-Toolkit☆11Updated this week
- Principal Geodesic Analysis in the Wasserstein space☆10Jun 19, 2018Updated 7 years ago
- Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…☆10Dec 14, 2022Updated 3 years ago
- Implementation of Stochastic Gradient Descent algorithms in Python (cite https://doi.org/10.1007/s00158-020-02599-z)☆11May 19, 2021Updated 4 years ago
- Code Repositoritory of the paper D-VAT: End-to-End Visual Active Tracking for Micro Aerial Vehicles☆11Dec 23, 2025Updated 2 months ago
- NOMU: Neural Optimization-based Model Uncertainty☆10Feb 17, 2023Updated 3 years ago
- Unofficial implementation of the paper: "NeRF-In: Free-Form NeRF Inpainting with RGB-D Priors"☆11Apr 30, 2023Updated 2 years ago
- List of papers on robust Bayesian optimization☆17Dec 2, 2021Updated 4 years ago
- ☆13Feb 14, 2022Updated 4 years ago
- Normalized Wasserstein for Mixture Distributions☆11Mar 24, 2023Updated 2 years ago
- The official evaluation suite and dynamic data release for MixEval.☆11Sep 23, 2024Updated last year
- ☆10Mar 6, 2022Updated 3 years ago
- A list of all papers related to anomaly detection in NeurIPS 2020.☆10Jan 13, 2021Updated 5 years ago
- [IEEE TGRS 2022] Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark☆44May 12, 2022Updated 3 years ago
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆105Feb 19, 2020Updated 6 years ago
- Dipy pipeline for reconstruction and tracking of tractography from Human Connectome Project dataset☆11Nov 18, 2015Updated 10 years ago