## Deformation Transfer via Synchronized Shape Deformation Spaces

Official pytorch implementation of DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces

Official pytorch implementation of DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces

A non official reimplementation of Language models are open knowledge graphs

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

Implementation of the HMAX model of vision in PyTorch

PyTorch implementation of Neural IMage Assessment by Hossein Talebi and Peyman Milanfar.

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 project is a python implementation of Deep Image Analogy.

A PyTorch Implementation of Neural IMage Assessment

PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.

This is a Pytorch implementation of cascaded refinement networks to synthesize photographic images from semantic layouts.

PyTorch implementation of adversarial patch

An implementation of Deepmind visual interaction networks in Pytorch.

This is a PyTorch implementation of the Gated Graph Sequence Neural Networks (GGNN)

PyTorch implementation of PoincarĂ© Embeddings for Learning Hierarchical Representations

Pytorch Implementation for Paper: Learning to Compare: Relation Network for Few-Shot Learning

Minimal PyTorch implementation of Generative Latent Optimization

Simple alternative Implementation of Prototypical Networks for Few Shot Learning (paper, code) in PyTorch.

PyTorch implementation of VAGAN: Visual Feature Attribution Using Wasserstein GANs

A tiny, friendly, strong baseline code for Person-reID

This is a PyTorch implementation for the wavelet analysis outlined in Torrence and Compo (BAMS, 1998).

Deep Learning for Physical Processes: Integrating Prior Scientific Knowledge

Gated-Attention Architectures for Task-Oriented Language Grounding

Unofficial PyTorch implementation of "Zero-Shot" Super-Resolution using Deep Internal Learning

PyTorch implementation of Noisy Natural Gradient as Variational Inference.

The YOLOv2 is one of the most popular one-stage object detector.

NMN is a network that is assembled dynamically by composing shallow network fragments called modules into a deeper structure.

Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach

Mixup: Beyond Empirical Risk Minimization in PyTorch

An implementation of RetinaNet in PyTorch.

PyTorch implementation of SmoothGrad: removing noise by adding noise.

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Image restoration with neural networks but without learning

PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules

A PyTorch Implementation of Single Shot Scale-invariant Face Detector.

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Wind Speed Prediction using LSTMs in PyTorch

ONNX Runtime for PyTorch accelerates PyTorch model training using ONNX Runtime.

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

PyTorch deep learning projects made easy

Bagua is a distributed training utility developed by AI [email protected] Technology and DS3 [email protected]

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).

Kazane: simple sinc interpolation for 1D signal in PyTorch