cure-lab Goto Github PK
Type: Organization
Type: Organization
A comprehensive survey on the time series domains
A comprehensive time-series dataset survey
This is the official implementation of ContraNet (NDSS2022).
Webpage for CURE Lab
[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"
An implementation of the state-of-the-art Deep Active Learning algorithms
This is an official implementation for "DeepGate: Learning Neural Representations of Logic Gates".
This is an official implementation for “DeepSAT: An EDA-Driven Learning Framework for SAT".
This is an official implementation for "DeepTPI: Test Point Insertion with Deep Reinforcement Learning".
[ICCV 2023] The official implementation of paper "DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models"
Implementation of "On Function-Coupled Watermarks for Deep Neural Networks"
This is an implementation of our paper "HybridRepair: Towards Annotation-Efficient Repair for Deep Learning Models", which will be presented in ISSTA'22.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
[ICLR24] Official implementation of the paper “MagicDrive: Street View Generation with Diverse 3D Geometry Control”
[CVPR2024] MMA-Diffusion: MultiModal Attack on Diffusion Models
ECCV2022
[ICLR2024] Official repo for paper "PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code"
Benchmarking end-to-end SAT solvers.
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)
[ECCV 2022] Official implementation of the paper "SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"
This is an implementation of the paper "TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks" in NeurIPS'2021.
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.