fengxianghe Goto Github PK
Name: Fengxiang He
Type: User
Company: University of Edinburgh
Bio: Lecturer @ AIAI, Informatics, Edinburgh
Location: Edinburgh
Name: Fengxiang He
Type: User
Company: University of Edinburgh
Bio: Lecturer @ AIAI, Informatics, Edinburgh
Location: Edinburgh
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Adaptive Priority Reweighing for Generalizing Fairness Improvement
AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.
Programs for algorithms proposed in "Communication-Efficient Regret-Optimal Distributed Online Convex Optimization" and some baseline DOCO algorithms.
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
[ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"
A pedagogical realization of MPS method.
The official implementation of the paper "Topology-aware Generalization of Decentralized SGD"
A simple, easy, customizable Gymnasium environment for trading.
InFi is a library for building input filters for resource-efficient inference.
Lie Symmetry Net
[ICLR 2022] Official repository for "Knowledge Removal in Sampling-based Bayesian Inference"
A state-of-the-art semi-supervised method for image recognition
[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset
A benchmark environment for fully cooperative human-AI performance.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Human-imperceptible, Machine-recognizable Images
The code for our paper Progressive Reconstruction of Visual Structure for Image Inpainting will be released soon.
[ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"
Collect and Select: Semantic Alignment Metric Learning for Few-shot Learning
PointPillars for KITTI object detection
[ICLR 2022] Huber Additive Models for Non-stationary Time Series Analysis
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.