harishgovardhandamodar Goto Github PK
Type: User
Company: SWIFT
Bio: Researching Security and Privacy on AI / ML @ Swift - Society for Worldwide Interbank Financial Telecommunications
Type: User
Company: SWIFT
Bio: Researching Security and Privacy on AI / ML @ Swift - Society for Worldwide Interbank Financial Telecommunications
[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
Latent space autoregression for novelty detection.
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling (AAAI 2020)
A hyperparameter optimization framework
[ACM MM 2021] Privacy-Preserving Portrait Matting
Code for "Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks" (AAAI 2021)
Contains notebooks for the PAR tutorial at CVPR 2021.
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets and paper categorization.
A library for Partially Homomorphic Encryption in Python
Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.
Generate embeddings from large-scale graph-structured data.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
This is a tutorial for PyTorch Geometric on the YooChoose dataset
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Graph Neural Network Library for PyTorch
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
PyTorch Tutorials from my YouTube channel
Quantum Machine Learning
This technique modifies image data so that any model trained on it will bear an identifiable mark.
Implementation of RelGAN: Relational Generative Adversarial Networks for Text Generation
A general model inversion attack against large pre-trained models.
TensorFlow Implementation of "Show, Attend and Tell"
Graph Neural Networks with Keras and Tensorflow 2.
[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
StatQuest with Josh Starmer
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.