Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
#Awesome#Awesome resources on normalizing flows.
#计算机科学#Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
#计算机科学#An extension of XGBoost to probabilistic modelling
#自然语言处理#DGMs for NLP. A roadmap.
#计算机科学#Normalizing flows in PyTorch
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
翻译 - PortaSpeech 的 PyTorch 实现：便携且高质量的生成文本到语音
#计算机科学#An extension of LightGBM to probabilistic modelling
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
#计算机科学#Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
#计算机科学#Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
Network-to-Network Translation with Conditional Invertible Neural Networks
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
#计算机科学#Code for reproducing Flow ++ experiments
Pytorch implementation of Block Neural Autoregressive Flow
#计算机科学#A Julia framework for invertible neural networks