Deformation Transfer via Synchronized Shape Deformation Spaces
Official pytorch implementation of DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
Language models are open knowledge graphs in pytorch
A non official reimplementation of Language models are open knowledge graphs
Stochastic Image-to-Video Synthesis using cINNs
Official PyTorch implementation of Stochastic Image-to-Video Synthesis using cINNs accepted to CVPR2021.
Pytorch implementation of the Variational Recurrent Neural Network
Pytorch implementation of the Variational RNN (VRNN), from A Recurrent Latent Variable Model for Sequential Data.
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
This code is an implementation of "Masked AutoEncoder for Density Estimation" by Germain et al., 2015.
PyTorch implementations of Generative Adversarial Networks
Collection of PyTorch implementations of Generative Adversarial Network varieties presented in research papers.
PyTorch implementation of Progressive Growing of GANs for Improved Quality
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.
A Pytorch implementation of the DCC algorithms presented
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
Implementation of the HMAX model of vision in PyTorch
PyTorch NIMA: Neural IMage Assessment
PyTorch implementation of Neural IMage Assessment by Hossein Talebi and Peyman Milanfar.
An implementation of shampoo, proposed in Shampoo
An implementation of shampoo, proposed in Shampoo : Preconditioned Stochastic Tensor Optimization by Vineet Gupta, Tomer Koren and Yoram Singer.
Pytorch implementation of i-RevNets
i-RevNets define a family of fully invertible deep networks, built from a succession of homeomorphic layers.
A python implementation of Deep-Image-Analogy based on pytorch
This project is a python implementation of Deep Image Analogy.
A PyTorch Implementation of Neural IMage Assessment
A PyTorch Implementation of Neural IMage Assessment
Efficient Neural Architecture Search (ENAS) in PyTorch
PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.
Photographic Image Synthesis with Cascaded Refinement Networks-Pytorch
This is a Pytorch implementation of cascaded refinement networks to synthesize photographic images from semantic layouts.
An implementation of the Adversarial Patch paper
PyTorch implementation of adversarial patch
An implementation of Deepmind visual interaction networks in Pytorch
An implementation of Deepmind visual interaction networks in Pytorch.
A PyTorch Implementation of Gated Graph Sequence Neural Networks
This is a PyTorch implementation of the Gated Graph Sequence Neural Networks (GGNN)
Poincaré Embeddings for Learning Hierarchical Representations
PyTorch implementation of Poincaré Embeddings for Learning Hierarchical Representations
Learning to Compare: Relation Network for Few-Shot Learning
Pytorch Implementation for Paper: Learning to Compare: Relation Network for Few-Shot Learning
Minimal PyTorch implementation of Generative Latent Optimization
Minimal PyTorch implementation of Generative Latent Optimization
Prototypical Networks for Few shot Learning in PyTorch
Simple alternative Implementation of Prototypical Networks for Few Shot Learning (paper, code) in PyTorch.
Visual Feature Attribution Using Wasserstein GANs
PyTorch implementation of VAGAN: Visual Feature Attribution Using Wasserstein GANs
A tiny, friendly, strong baseline code for Person-reID
A tiny, friendly, strong baseline code for Person-reID
Continuous Wavelet Transforms in PyTorch
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
Deep Learning for Physical Processes: Integrating Prior Scientific Knowledge
Gated-Attention Architectures for Task-Oriented Language Grounding
Gated-Attention Architectures for Task-Oriented Language Grounding
Unofficial PyTorch implementation of Zero-Shot Super-Resolution using Deep Internal Learning
Unofficial PyTorch implementation of "Zero-Shot" Super-Resolution using Deep Internal Learning
Noisy Natural Gradient as Variational Inference in python
PyTorch implementation of Noisy Natural Gradient as Variational Inference.
PyTorch implementation of the YOLO (You Only Look Once)
The YOLOv2 is one of the most popular one-stage object detector.
Neural Module Network (NMN) for VQA in Pytorch
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
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
Mixup: Beyond Empirical Risk Minimization in PyTorch
Mixup: Beyond Empirical Risk Minimization in PyTorch
An implementation of RetinaNet in PyTorch
An implementation of RetinaNet in PyTorch.
SmoothGrad implementation in PyTorch
PyTorch implementation of SmoothGrad: removing noise by adding noise.
Evolution of Optical Flow Estimation with Deep Networks
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.
Random Erasing Data Augmentation. Experiments on CIFAR10
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Image restoration with neural networks but without learning
Image restoration with neural networks but without learning
Dynamic Routing Between Capsules PyTorch implementation
PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules
A PyTorch Implementation of Single Shot Scale-invariant Face Detector
A PyTorch Implementation of Single Shot Scale-invariant Face Detector.
StarGAN - Official PyTorch Implementation
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Implementation of Deep-Forecast using PyTorch
Wind Speed Prediction using LSTMs in PyTorch
Accelerate PyTorch models with ONNX Runtime
ONNX Runtime for PyTorch accelerates PyTorch model training using ONNX Runtime.
WaveGrad 2 - Unofficial PyTorch Implementation
WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis
PyTorch deep learning projects made easy
PyTorch deep learning projects made easy
A flexible and performant distributed training algorithm development framework
Bagua is a distributed training utility developed by AI [email protected] Technology and DS3 [email protected]
A library containing standard DSLs for authoring and running PyTorch related components
TorchX is a library containing standard DSLs for authoring and running PyTorch related components for an E2E production ML pipeline.
A Large-Scale Benchmark for General Object Grasping
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020).
Simple sinc interpolation for 1D signal in PyTorch
Kazane: simple sinc interpolation for 1D signal in PyTorch