This repository is the official implementation of How Attentive are Graph Attention Networks?.
The PyTorch Geometric implementation of the new GATv2 layer is in this main directory.
The rest of the code for reproducing the experiments in the paper will be made publicly available.
GraphGT: Machine Learning Datasets for Graph Generation and Transformation Dataset Website | Paper Installation Using pip To install the core environm
LegoNet This code is the implementation of ICML2019 paper LegoNet: Efficient Convolutional Neural Networks with Lego Filters Run python train.py You c
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation [arxiv] This is the official repository for CDTrans: Cross-domain Transformer for
Dancing to Music PyTorch implementation of the cross-modality generative model that synthesizes dance from music. Paper Hsin-Ying Lee, Xiaodong Yang,
Amplitude-Phase Recombination (ICCV'21) Official PyTorch implementation of "Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neur
Static Features Classifier This is a static features classifier for Point-Could
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks Stable Neural ODE with Lyapunov-Stable Equilibrium
Created by Olga Sutyrina, Sarah Elemili, Abduragim Shtanchaev and Artur Bille Individual Tree Crown classification on WorldView-2 Images using Autoenc
Tianshou (天授) is a reinforcement learning platform based on pure PyTorch. Unlike existing reinforcement learning libraries, which are mainly based on
High performance distributed framework for training deep learning recommendation models based on PyTorch.
Google_Landmark_Retrieval_2021_2nd_Place_Solution The 2nd place solution of 2021 google landmark retrieval on kaggle. Environment We use cuda 11.1/pyt
PyTorch Large-Scale Language Model A Large-Scale PyTorch Language Model trained on the 1-Billion Word (LM1B) / (GBW) dataset Latest Results 39.98 Perp
Geometric Transformer for Fast and Robust Point Cloud Registration PyTorch imple
GPOEO GPOEO is a micro-intrusive GPU online energy optimization framework for iterative applications. We also implement ODPP [1] as a comparison. [1]
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation (ICCV2021) This is the implementation of PSD (ICCV 2021),
Extreme Lightwegith Portrait Segmentation Please go to this link to download code Requirements python 3 pytorch = 0.4.1 torchvision==0.2.1 opencv-pyt
Novel View Synthesis via Depth-guided Skip Connections Code for paper Novel View Synthesis via Depth-guided Skip Connections @InProceedings{Hou_2021_W
TransferNet: Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network Created by Seunghoon Hong, Junhyuk Oh,
RAMA: Rapid algorithm for multicut problem Solves multicut (correlation clustering) problems orders of magnitude faster than CPU based solvers without
Movement classification The goal of this project would be movement classification of people, in other words, walking (normal and fast) and running. Yo
50 Aug 18, 2022
140 Sep 26, 2022
238 Dec 22, 2022
485 Dec 26, 2022
53 Oct 05, 2022
1 Jan 25, 2022
8 Dec 12, 2022
2 Dec 08, 2022
5.5k Jan 05, 2023
340 Dec 30, 2022
229 Dec 13, 2022
114 Nov 04, 2022
220 Jan 05, 2023
8 Sep 10, 2022
12 Dec 12, 2022
59 Dec 16, 2022
8 Mar 14, 2022
42 Jun 29, 2022
60 Dec 13, 2022
4 Sep 21, 2021