irish-kw Goto Github PK
Type: User
Bio: https://irish-kw.github.io/
Type: User
Bio: https://irish-kw.github.io/
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Official Code for reproductivity of the NeurIPS 2023 paper: Adversarial Examples Are Not Real Features
[S&P 2024] Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics.
Have fun with audit log analysis :)
An experimental open-source attempt to make GPT-4 fully autonomous.
Auto Quant
A code implementation for Label Encoding for Regression Networks, ICLR 2022 (spotlight).
Box embedding model for temporal knowledge graph completion. AAAI paper: https://arxiv.org/abs/2109.08970
[NeurIPS 2023] Rethinking the Backward Propagation for Adversarial Transferability
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
Official implementation of Cold-Diffusion for different transformations in pytorch.
Use Comsol to create Rotating-Galaxy
python 3 pytorch implementation of DANN
paper DDNAN code repository
[AAAI 2021] Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal
[ICLR'23] DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
play digital monster on the pc
[CIKM 2021] Official code of "DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network"
FluidDynamic-RollingPiston-Simulation
Plot different formula in multi interface, allow to compare and output data.
Source code of our paper for our paper: GPU-Accelerated Batch-Dynamic Subgraph Matching
GLPDepth PyTorch Implementation: Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
A curated list of adversarial attacks and defenses papers on graph-structured data.
Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
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.