Memory In Memory Networks
It is based on the paper Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics to be presented at CVPR 2019. Official Repo
PyTorch Code of "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics"
Overview
Collective Multi-type Entity Alignment Between Knowledge Graphs (WWW'20)
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A PyTorch Implementation of Neural IMage Assessment
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Unofficial implementation of the paper: PonderNet: Learning to Ponder in TensorFlow
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Learning to Stylize Novel Views
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FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction
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Subdivision-based Mesh Convolutional Networks
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Seeing Dynamic Scene in the Dark: High-Quality Video Dataset with Mechatronic Alignment (ICCV2021)
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A set of simple scripts to process the Imagenet-1K dataset as TFRecords and make index files for NVIDIA DALI.
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PyTorch implementation for ComboGAN
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GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion
GarmentNets This repository contains the source code for the paper GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape
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I tried to apply the CAM algorithm to YOLOv4 and it worked.
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55 Dec 05, 2022
Official implementation of NeuralFusion: Online Depth Map Fusion in Latent Space
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Multi-Modal Machine Learning toolkit based on PyTorch.
简体中文 | English TorchMM 简介 多模态学习工具包 TorchMM 旨在于提供模态联合学习和跨模态学习算法模型库，为处理图片文本等多模态数据提供高效的解决方案，助力多模态学习应用落地。 近期更新 2022.1.5 发布 TorchMM 初始版本 v1.0 特性 丰富的任务场景：工具
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UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
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Swin-Transformer is basically a hierarchical Transformer whose representation is computed with shifted windows.
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Accuracy Aligned. Concise Implementation of Swin Transformer
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Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
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Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"
Update 2019/06/24: A model trained on 10% of the Shepard-Metzler dataset has been added, the following notebook explains the main features of this mod
313 Dec 27, 2022
Get 2D point positions (e.g., facial landmarks) projected on 3D mesh
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5 Dec 08, 2022
This repository contains the implementation of the HealthGen model, a generative model to synthesize realistic EHR time series data with missingness
HealthGen: Conditional EHR Time Series Generation This repository contains the implementation of the HealthGen model, a generative model to synthesize
0 Jan 20, 2022