Official pytorch implementation of DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
Official PyTorch implementation of Stochastic Image-to-Video Synthesis using cINNs accepted to CVPR2021.
Pytorch implementation of the Variational RNN (VRNN), from A Recurrent Latent Variable Model for Sequential Data.
This code is an implementation of "Masked AutoEncoder for Density Estimation" by Germain et al., 2015.
Collection of PyTorch implementations of Generative Adversarial Network varieties presented in research papers.
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
An implementation of shampoo, proposed in Shampoo : Preconditioned Stochastic Tensor Optimization by Vineet Gupta, Tomer Koren and Yoram Singer.
i-RevNets define a family of fully invertible deep networks, built from a succession of homeomorphic layers.
This is a Pytorch implementation of cascaded refinement networks to synthesize photographic images from semantic layouts.
Simple alternative Implementation of Prototypical Networks for Few Shot Learning (paper, code) in PyTorch.
This is a PyTorch implementation for the wavelet analysis outlined in Torrence and Compo (BAMS, 1998).
NMN is a network that is assembled dynamically by composing shallow network fragments called modules into a deeper structure.
TorchX is a library containing standard DSLs for authoring and running PyTorch related components for an E2E production ML pipeline.
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020).