zhihelu Goto Github PK
Name: Lucas
Type: User
Bio: A Postdoc researcher on Computer Vision.
Name: Lucas
Type: User
Bio: A Postdoc researcher on Computer Vision.
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Tracking and collecting papers/projects/others related to Segment Anything.
A curated list of awesome vision and language resources (still under construction... stay tuned!)
A collection of AWESOME things about domian adaptation
( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Official code for "Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. ICCV2021".
A PyTorch toolbox for domain adaptation and semi-supervised learning.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
An easy reading implementation of popular machine learning algorithm with cpp for the beginner.
EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212
Official code for paper "Evolving Knowledge Mining for Class Incremental Segmentation"
Official code for paper "Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models, ICML2024"
End-to-end, automatic face swapping pipeline
A MNIST-like fashion product database. Benchmark :point_right:
Feature-Critic Networks for Heterogeneous Domain Generalisation
Few Shot Semantic Segmentation Papers
code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
Image augmentation for machine learning experiments.
Inpaint anything using Segment Anything and inpainting models.
Pytorch0.4 codes for InsightFace
PyTorch implementation of "InstaGAN: Instance-aware Image Translation" (ICLR 2019)
A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Models and examples built with TensorFlow
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.