hongguangzhang Goto Github PK
Name: Hongguang Zhang
Type: User
Company: Australian National University
Bio: PhD @ Computer Vision, Machine Learning and Deep Learning
Location: Canberra, ACT, Australia
Name: Hongguang Zhang
Type: User
Company: Australian National University
Bio: PhD @ Computer Vision, Machine Learning and Deep Learning
Location: Canberra, ACT, Australia
The code for ECCV'20 paper 'Few-shot Action Recognition via Permutation-invariant Attention'
Implementation of Convolutional LSTM in PyTorch.
Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch
Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"
Ethereum miner with OpenCL, CUDA and stratum support
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Source code for the LabelMe annotation tool.
A dataset of datasets for learning to learn from few examples
Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)
The code of TMM paper "Multi-level Second-order Few-shot Learning"
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
Imagenet dataset for pytorch
Pytorch Implementation of CVPR19 "Few-shot Learning via Saliency-guided Hallucination of Samples"
Code for "Saliency-guided Meta-Hallucination"
Pytorch Implementation of SoP
Implementation of WACV2019 paper "Power Normalizing Second-order Similarity Network for Few-shot Learning"
Datasets, Transforms and Models specific to Computer Vision
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
3.8% and 18.3% on CIFAR-10 and CIFAR-100
Matlab Implementation of CVPR18 paper "Zero-shot Kernel Learning"
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.