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Name: Daniel
Type: User
Company: University of Melbourne
Name: Daniel
Type: User
Company: University of Melbourne
🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback, vit), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, distillation, etc.
Pushshift API
a Java version implementation of A star algorithm
Audio-Conditioned U-Net for Position Estimation in Full Sheet Images
The code to extract text features from sentences. Mainly designed for data pre-processing for rumour detection task.
An awesome README template to jumpstart your projects!
Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020
Code of ACM-MM 2023 <Improving Rumor Detection by Class-based Adversarial Domain Adaptation>
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
A cloud based COVID-19 Analysis, implemented by React, Django, CouchDB
Cross-Modal Self-Attention Network for Referring Image Segmentation cvpr19
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge (ACL 2021)
Implementation of Convolutional LSTM in PyTorch.
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
A python implementation of DH algorithm (Hierarchical Sampling for Active Learning)
Dynamic Graph Convolutional Networks with Attention Mechanism for Rumor Detection on Social Media (PLOS ONE 2021)
Elastic Compute Service
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A solution to the question: Given a number 'X', output the largest number smaller than the number 'X' that can be obtained by swapping different bits of the number.
Official implementation of GCAN model(ACL2020)
GCAN (ACL2020) Pytorch Reproduction
Fake news detection using graph machine learning.
A curated list of fraud detection papers using graph information or graph neural networks
GraphVite: A General and High-performance Graph Embedding System
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.