We got a stew going!
☆27Oct 3, 2023Updated 2 years ago
Alternatives and similar repositories for gradient-boosted-normalizing-flows
Users that are interested in gradient-boosted-normalizing-flows are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆28Jan 31, 2022Updated 4 years ago
- Orthogonal Quantile Regression☆11Oct 21, 2021Updated 4 years ago
- Implementations of normalizing flows using python and tensorflow☆24Dec 3, 2024Updated last year
- ☆181Jul 5, 2019Updated 6 years ago
- ☆150Mar 28, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Pytorch implementation of Block Neural Autoregressive Flow☆183Aug 19, 2021Updated 4 years ago
- Code for Neural Spline Flows paper☆287Oct 19, 2025Updated 5 months ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆49Oct 3, 2023Updated 2 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Jul 7, 2020Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- Manifold-learning flows (ℳ-flows)☆233Nov 13, 2020Updated 5 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20May 12, 2023Updated 2 years ago
- ☆22May 6, 2020Updated 5 years ago
- ☆88Nov 2, 2021Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Common Framework for Inference☆21Apr 2, 2026Updated last week
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆22Feb 11, 2021Updated 5 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Nov 5, 2020Updated 5 years ago
- Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normali…☆20Jun 4, 2024Updated last year
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Oct 25, 2021Updated 4 years ago
- Normalizing Flows using JAX☆87Nov 30, 2023Updated 2 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- Recyclable Gaussian Processes☆11Dec 8, 2022Updated 3 years ago
- Implementation of non-linear independent components estimation (NICE) in pytorch☆53May 23, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- code supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Jul 24, 2017Updated 8 years ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Oct 30, 2024Updated last year
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆637Jul 12, 2021Updated 4 years ago
- ☆21Nov 29, 2022Updated 3 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆48Sep 21, 2023Updated 2 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Apr 1, 2020Updated 6 years ago
- A GPU-accelerated two-point seismic raytracer that utilizes the shooting method for determining traveltimes of seismic waves in isotropic…☆11Oct 31, 2016Updated 9 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Official PyTorch implementation of NeurIPS 2022 paper "Invertible Monotone Operators for Normalizing Flows"☆15Nov 28, 2022Updated 3 years ago
- ☆68Oct 13, 2022Updated 3 years ago
- Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)☆40Apr 25, 2023Updated 2 years ago
- Implemenations of PAE in pytorch☆12Dec 20, 2022Updated 3 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Dec 9, 2020Updated 5 years ago
- ☆14May 5, 2023Updated 2 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Dec 26, 2017Updated 8 years ago