arjunroyihrpa Goto Github PK
Name: Arjun Roy
Type: User
Name: Arjun Roy
Type: User
Implementation for our paper "Fairness in Multi-Task Learning via Wasserstein Barycenters"
Julia Toolkit with fairness metrics and bias mitigation algorithms
Implementation of "Bursting the Filter Bubble: Fairness-Aware Network Link Prediction" paper.
Datasets derived from US census data
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
Must-read papers on graph neural networks (GNN)
Google Research
Pytorch implementation of Hebbian learning algorithms to train deep convolutional neural networks.
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
to build a multi-headed model thatβs capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate
Learning to Teach Fairness-aware Deep Multi-task Learning
Language-Agnostic SEntence Representations
A PyTorch Library for Multi-Task Learning
This repository can be used for analysing the long-term impact of fairness constraints
LOcal Rule-based Exlanations
Code for visualizing the loss landscape of neural nets
Create animations for the optimization trajectory of neural nets
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
A pytorch implementation of Maximum Mean Discrepancies(MMD) loss
Implementation of Minimax Pareto Fairness framework
Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.