Collection of generative models in Tensorflow
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
#计算机科学#Notebooks about Bayesian methods for machine learning
#计算机科学#PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
#计算机科学#Deep probabilistic analysis of single-cell and spatial omics data
#自然语言处理#My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
#计算机科学#"Deep Generative Modeling": Introductory Examples
#学习与技能提升#Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
PyTorch implementation of normalizing flow models
#Awesome#A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
#计算机科学#Experiments for understanding disentanglement in VAE latent representations
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
#计算机科学#Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Variational autoencoders for collaborative filtering
#时序数据库#We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Tensorflow implementation of variational auto-encoder for MNIST
#计算机科学#This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Open-AI's DALL-E for large scale training in mesh-tensorflow.
#计算机科学#Pytorch implementation of Hyperspherical Variational Auto-Encoders