GCA
Source code for Graph Contrastive Learning with Adaptive Augmentation (WWW 2021)
For example, to run GCA-Degree under WikiCS, execute:
python train.py --device cuda:0 --dataset WikiCS --param local:wikics.json --drop_scheme degree
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
Overview
Owner
Big Data and Multi-modal Computing Group, CRIPAC
Big Data and Multi-modal Computing Group, Center for Research on Intelligent Perception and Computing
An auto discord account and token generator. Automatically verifies the phone number. Works without proxy. Bypasses captcha.
JOIN DISCORD SERVER https://discord.gg/uAc3agBY FREE HCAPTCHA SOLVING API Discord-Token-Gen An auto discord token generator. Auto verifies phone numbe
271 Jan 01, 2023
CTC segmentation python package
CTC segmentation CTC segmentation can be used to find utterances alignments within large audio files. This repository contains the ctc-segmentation py
217 Jan 04, 2023
Learning Neural Painters Fast! using PyTorch and Fast.ai
The Joy of Neural Painting Learning Neural Painters Fast! using PyTorch and Fast.ai Blogpost with more details: The Joy of Neural Painting The impleme
72 Nov 10, 2022
A High-Quality Real Time Upscaler for Anime Video
Anime4K Anime4K is a set of open-source, high-quality real-time anime upscaling/denoising algorithms that can be implemented in any programming langua
15.7k Jan 06, 2023
Implements a fake news detection program using classifiers.
Fake news detection Implements a fake news detection program using classifiers for Data Mining course at UoA. Description The project is the categoriz
1 Jan 09, 2022
Prototypical python implementation of the trust-region algorithm presented in Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints by Larson, Leyffer, Kirches, and Manns.
Prototypical python implementation of the trust-region algorithm presented in Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints by Larson, L
3 Dec 02, 2022
General Assembly Capstone: NBA Game Predictor
Project 6: Predicting NBA Games Problem Statement Can I predict the results of NBA games from the back-half of a season from the opening half of the s
1 Jan 14, 2022
OpenMMLab Model Deployment Toolset
Introduction English | 简体中文 MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Major features F
1.5k Dec 30, 2022
Implementation of the pix2pix model on satellite images
This repo shows how to implement and use the pix2pix GAN model for image to image translation. The model is demonstrated on satellite images, and the
3 May 24, 2022
The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021) Arash Vahdat* · Karsten Kreis* ·
238 Jan 02, 2023
TCTrack: Temporal Contexts for Aerial Tracking (CVPR2022)
TCTrack: Temporal Contexts for Aerial Tracking （CVPR2022) Ziang Cao and Ziyuan Huang and Liang Pan and Shiwei Zhang and Ziwei Liu and Changhong Fu In
100 Dec 19, 2022
EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers
EntityQuestions This repository contains the EntityQuestions dataset as well as code to evaluate retrieval results from the the paper Simple Entity-ce
119 Sep 28, 2022
A Python library for Deep Graph Networks
PyDGN Wiki Description This is a Python library to easily experiment with Deep Graph Networks (DGNs). It provides automatic management of data splitti
194 Dec 22, 2022
Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.
MAUVE MAUVE is a library built on PyTorch and HuggingFace Transformers to measure the gap between neural text and human text with the eponymous MAUVE
182 Jan 02, 2023
Turning SymPy expressions into PyTorch modules.
sympytorch A micro-library as a convenience for turning SymPy expressions into PyTorch Modules. All SymPy floats become trainable parameters. All SymP
89 Dec 13, 2022
Official code repository for ICCV 2021 paper: Gravity-Aware Monocular 3D Human Object Reconstruction
GraviCap Official code repository for ICCV 2021 paper: Gravity-Aware Monocular 3D Human Object Reconstruction. Gravity-Aware Monocular 3D Human-Object
15 Dec 09, 2022
CAST: Character labeling in Animation using Self-supervision by Tracking
CAST: Character labeling in Animation using Self-supervision by Tracking (Published as a conference paper at EuroGraphics 2022) Note: The CAST paper c
15 Nov 18, 2022
Pocsploit is a lightweight, flexible and novel open source poc verification framework
Pocsploit is a lightweight, flexible and novel open source poc verification framework
208 Dec 24, 2022
Code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizability of Cross-Task Neural Architecture Search.
TransNAS-Bench-101 This repository contains the publishable code for CVPR 2021 paper TransNAS-Bench-101: Improving Transferrability and Generalizabili
17 Nov 20, 2022
Predict the latency time of the deep learning models
Deep Neural Network Prediction Step 1. Genernate random parameters and Run them sequentially : $ python3 collect_data.py -gp -ep -pp -pl pooling -num
1 Nov 12, 2021