GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
normalizing-flowsHere are 281 public repositories matching this topic...Language: All
Filter by language
Sort: Most stars
Sort options
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
benchmarking reproducible-research pytorch comparison vae pixel-cnn reproducibility beta-vae vae-gan normalizing-flows variational-autoencoder vq-vae wasserstein-autoencoder vae-implementation vae-pytorch
Awesome resources on normalizing flows.
machine-learning awesome-list bayesian-inference autoregressive variational-inference density-estimation normalizing-flows bayesian-neural-networks generative-modeling
Normalizing flows in PyTorch
An extension of XGBoost to probabilistic modelling
machine-learning xgboost gamlss uncertainty-estimation mixture-density-model normalizing-flows prediction-intervals multi-target-regression distributional-regression probabilistic-forecasts
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Normalizing flows in PyTorch
An extension of LightGBM to probabilistic modelling
machine-learning lightgbm gamlss uncertainty-estimation mixture-density-model normalizing-flows prediction-intervals probabilistic-forecasting distributional-regression
DGMs for NLP. A roadmap.
natural-language-processing parsing decoding text-generation generative-text generative-model graphical-models mcmc language-model generative-adversarial-networks variational-inference markov-chain-monte-carlo latent-variable-models normalizing-flows structured-prediction discrete-structures generative-models variational-autoencoders approximate-inference gradient-estimation
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
text-to-speech deep-neural-networks pytorch tts speech-synthesis generative-model vae normalizing-flows high-quality neural-tts non-autoregressive fastspeech hifi-gan non-ar mel-gan portable-tts
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
Manifold-learning flows (ℳ-flows)
Network-to-Network Translation with Conditional Invertible Neural Networks
lightning pytorch generative-model inn gans autoencoders normalizing-flows pytorch-lightning streamlit
Code for reproducing Flow ++ experiments
Pytorch implementation of Block Neural Autoregressive Flow
Add this topic to your repoTo associate your repository with the normalizing-flows topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |