Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.
☆30May 3, 2018Updated 8 years ago
Alternatives and similar repositories for NormalizingFlow
Users that are interested in NormalizingFlow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Variational Autoencoder with Normalizing Flows☆17Jun 17, 2017Updated 9 years ago
- Understanding normalizing flows☆132Dec 2, 2019Updated 6 years ago
- Tutorial on normalizing flows.☆301Jan 17, 2018Updated 8 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆10May 22, 2020Updated 6 years ago
- Implementation of various generative models☆14Oct 1, 2018Updated 7 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆245Sep 3, 2018Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆67Apr 29, 2019Updated 7 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Mar 17, 2020Updated 6 years ago
- Implementation of Deep Dirichlet Multinomial Regression in python + cython.☆16Mar 7, 2018Updated 8 years ago
- Efficient non-linear PCA through kernel PCA with the Nyström method☆13May 19, 2023Updated 3 years ago
- ☆23Jun 16, 2021Updated 5 years ago
- Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"☆531Nov 22, 2018Updated 7 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆640Jul 12, 2021Updated 4 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆44May 18, 2017Updated 9 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- FFTNet: a Real-Time Speaker-Dependent Neural Vocoder☆64Aug 7, 2018Updated 7 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated this week
- Implementation of Sequential Variational Autoencoder☆87Aug 23, 2017Updated 8 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆74Jan 26, 2017Updated 9 years ago
- A discrete sequential VAE☆42Apr 22, 2020Updated 6 years ago
- ☆18Feb 9, 2020Updated 6 years ago
- Variational autoencoder implementation using Tensorflow and Python☆10Dec 6, 2016Updated 9 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Jun 7, 2016Updated 10 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆169Aug 13, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Nov 14, 2019Updated 6 years ago
- Some examples on computing MLEs using TensorFlow☆15Sep 8, 2017Updated 8 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Dec 2, 2018Updated 7 years ago
- Neural Vector Space Models☆49Oct 30, 2018Updated 7 years ago
- Implementation of Variance Reduction Techniques in Julia☆12Sep 6, 2016Updated 9 years ago
- Code for Neural Spline Flows paper☆291Oct 19, 2025Updated 8 months ago
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago
- Disconnected Manifold Learning for Generative Adversarial Networks.☆13Jan 10, 2019Updated 7 years ago
- This implements variational inference for the correlated topic model.☆21Oct 5, 2014Updated 11 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Python Implementation of Quantile Random Forest Regression☆14Nov 5, 2014Updated 11 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Mar 9, 2019Updated 7 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Dec 26, 2017Updated 8 years ago
- Basic implementation of variational autoencoders in Torch☆10Apr 16, 2016Updated 10 years ago
- It is a Tutorial, not a complete implement☆55Aug 24, 2018Updated 7 years ago
- Implementation of REBAR in PyTorch☆17Jul 18, 2018Updated 7 years ago
- Pytorch implementation of Localised Generative Flows☆11Jul 15, 2020Updated 5 years ago