code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
MIT License
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick...
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large languag...
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
An easy to use API to visualize the latent space of CNN in Pytorch
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive f...
Implementation of a Variational Autoencoder (VAE) for meandering river images using PyTorch
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictio...
Semantic Segmentation Architectures Implemented in PyTorch
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 ...
PyTorch World Model implementation with PPO.
Autoregressive Models in PyTorch.
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Network-to-Network Translation with Conditional Invertible Neural Networks