wenbinlee Goto Github PK
Name: Wenbin Li
Type: User
Company: Nanjing University
Name: Wenbin Li
Type: User
Company: Nanjing University
ICCV 2019 papers/new汇总帖,极市团队整理
A dependency free library of standardized optimization test functions written in pure Python.
LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation
Learning from Failure: Training Debiased Classifier from Biased Classifier (NeurIPS 2020)
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
ManifoldAlignmentStyleTransfer
The code of "Deep Embedded Complementary and Interactive Information for Multi-view Classification", AAAI 2020.
The matlab code of "OPML: A One-Pass Closed-Form Solution for Online Metric Learning", Pattern Recognition 2018.
Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
PyCIL: A Python Toolbox for Class-Incremental Learning
Distance Metric Learning Algorithms for Python
A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (CVPR 2017).
label-smooth, amsoftmax, focal-loss, triplet-loss. Maybe useful
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
PyTorch implementation of OpenAI's REPTILE Algorithm
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
PyTorch Implementation for SoftTriple Loss
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
The PyTorch code of "Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings", TMLR 2023.
A playbook for systematically maximizing the performance of deep learning models.
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.