wayne980 Goto Github PK
Name: Wayne
Type: User
Company: UESTC
Bio: Ph.D
Name: Wayne
Type: User
Company: UESTC
Bio: Ph.D
Faster RCNN with PyTorch
Few-shot Object Detection via Feature Reweighting
Improved Fisher Vector Implementation
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)
F' - A flight software and embedded systems framework
Full Speed Python: a book for self-learners
Implementation of Graph Convolutional Networks in TensorFlow
Pytorch Implementation of Graph Convolutional Neural Networks
Pretrained EfficientNet, MixNet, MobileNetV3, MNASNet A1 and B1, FBNet, Single-Path NAS
This repository has the pytorch implementation of the paper 'Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders' (CVPR 2019)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Official code for "The Group Loss for Deep Metric Learning" paper (ECCV 2020)
Implementation of our CVPR2020 paper, Graph Structured Network for Image-Text Matching
CVPR2020: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval
Code release for "HAL: Improved Text-Image Matching by Mitigating Visual Semantic Hubs" at AAAI 2020.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Code accompanying the paper "Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning".
Code for the HowTo100M paper
Source code of our TPAMI'21 paper Dual Encoding for Video Retrieval by Text and CVPR'19 paper Dual Encoding for Zero-Example Video Retrieval.
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)
Implementation of method described in http://openaccess.thecvf.com/content_ICCV_2019/papers/Le_Cacheux_Modeling_Inter_and_Intra-Class_Relations_in_the_Triplet_Loss_for_ICCV_2019_paper.pdf
Code for CVPR 2021 paper: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning
Sandbox for training convolutional networks for computer vision
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.