∆-Conformity is a local homophily measure in attributed stream graphs.
The measure is implemented in DynetX (https://github.com/GiulioRossetti/dynetx) and introduced in:
S. Citraro, L. Milli, R. Cazabet and G. Rossetti
∆-Conformity: Multi-scale Node Assortativity in Feature-rich Stream Graphs
Pre-Print: https://arxiv.org/abs/2111.15534
Analysis on Sociopattern datasets:
CycleGAN and pix2pix in PyTorch New: Please check out contrastive-unpaired-translation (CUT), our new unpaired image-to-image translation model that e
Second-order Neural ODE Optimizer (NeurIPS 2021 Spotlight) [arXiv] ✔️ faster convergence in wall-clock time | ✔️ O(1) memory cost | ✔️ better test-tim
A task Provided by A respective Alternal Ai and Ml based Company to complete it .
Pose Transformation Affine / Perspective transformation in Pose Estimation with Tensorflow 2 Introduction 이 repo는 pose estimation을 연구하고 개발하는 데 도움이 되기
PromptDet: Expand Your Detector Vocabulary with Uncurated Images Paper Website Introduction The goal of this work is to establish a scalable pipeline
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Official Pytorch implementation of NeurIPS'21 paper "Motif-based Graph Se
Evolutionary Scale Modeling This repository contains code and pre-trained weights for Transformer protein language models from Facebook AI Research, i
Open Rule Induction This repository is the official implementation of Open Rule Induction. This paper has been accepted to NeurIPS 2021. Abstract Rule
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region (Paper and DataSet). [New] Note that all the emails about the download permission o
COTR: Correspondence Transformer for Matching Across Images This repository contains the inference code for COTR. We plan to release the training code
XBNet - Xtremely Boosted Network Boosted neural network for tabular data XBNet is an open source project which is built with PyTorch which tries to co
pre-commit-hooks Some pre-commit hooks for OpenMMLab projects. Using pre-commit-hooks with pre-commit Add this to your .pre-commit-config.yaml - rep
Growing 3D Artefacts and Functional Machines with Neural Cellular Automata Video of more results: https://www.youtube.com/watch?v=-EzztzKoPeo Requirem
This is the official repository of my book "Deep Learning with PyTorch Step-by-Step". Here you will find one Jupyter notebook for every chapter in the book.
Fine-grained Post-training for Multi-turn Response Selection Implements the model described in the following paper Fine-grained Post-training for Impr
Equivariant Imaging: Learning Beyond the Range Space Equivariant Imaging: Learning Beyond the Range Space Dongdong Chen, Julián Tachella, Mike E. Davi
Contra AI Engine A lightweight, production ready Tensorflow alternative developed by Styvio styvio.com » How to Use · Report Bug · Request Feature Tab
Decoupled-Contrastive-Learning This repository is an implementation for the loss function proposed in Decoupled Contrastive Loss paper. Requirements P
DeCLIP Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm. Our paper is available in arxiv Updates ** Ou
CvT: Introducing Convolutions to Vision Transformers Pytorch implementation of CvT: Introducing Convolutions to Vision Transformers Usage: img = torch
19k Jan 07, 2023
39 Oct 22, 2022
1 Jan 25, 2022
1 Dec 22, 2021
103 Dec 20, 2022
71 Dec 20, 2022
1.6k Jan 09, 2023
16 Nov 14, 2022
71 Dec 22, 2022
360 Jan 06, 2023
175 Jan 04, 2023
16 Nov 29, 2022
51 Jan 01, 2023
340 Jan 01, 2023
83 Dec 20, 2022
46 Jan 01, 2023
14 May 25, 2022
71 Dec 04, 2022
470 Dec 30, 2022
193 Jan 03, 2023