chenghao-ch94 Goto Github PK
Name: chenghao
Type: User
Location: NTU, Singapore
Name: chenghao
Type: User
Location: NTU, Singapore
[MIPR 2022 & TMM 2023] "Attentive Graph Neural Networks for Few-shot Learning" with its extension version
A curated list of awesome anomaly detection resources
Awesome Few-Shot Class-Incremental Learning
Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"
chenghao‘s homepage
PyTorch Implementation of the CVPR'22 Paper "Constrained Few-shot Class-incremental Learning"
Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020
[TNNLS 2023] Disentangled Feature Representation for Few-shot Image Classification
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).
@CVPR2018: We propose a fast MPN-COV method for computing matrix square root normalization, which is very efficient, scalable to multiple-GPU configuration, while enjoying matching performance with MPN-COV
The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
Repository for few-shot learning machine learning projects
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021
[ICCV 23] Frequency Guidance Matters in Few-shot Learning
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
[ICIP 2020 & Neurocomputing 2023] "Joint Statistical and Spatial Sparse Representation for Robust Image and Image-set Classification" and its extension version
This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset
This repo contains the source code accompanying a scientific paper with the same name.
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Python toolbox for optimization on manifolds with support for automatic differentiation
Tensors and Dynamic neural networks in Python with strong GPU acceleration
[IJCAI 2018] "Towards Generalized and Efficient Metric Learning on Riemannian Manifold"
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.