bruinxiong Goto Github PK
Name: Xiong Lin
Type: User
Company: SenseTime, Xi'an, China
Bio: Ph.D degree from Xidian Univ. Senior Algorithm Expert of SenseTime in Xi'an from Jun-2022 to Now.
Location: China
Name: Xiong Lin
Type: User
Company: SenseTime, Xi'an, China
Bio: Ph.D degree from Xidian Univ. Senior Algorithm Expert of SenseTime in Xi'an from Jun-2022 to Now.
Location: China
@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.
A tensorflow implementation for fast neural style!
SOTA ReID Methods and Toolbox
Pytorch library for fast transformer implementations
FastFormers - highly efficient transformer models for NLU
The Implementation of FastSpeech based on pytorch.
An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
[Preprint] "In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation" by Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang
An Industrial Level Federated Learning Framework
Official repository for the paper F, B, Alpha Matting
reproduction of the article
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
FCOS: Fully Convolutional One-Stage Object Detection
[NIPS-2018] FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification.
The code repository for "Learning Embedding Adaptation for Few-Shot Learning"
On the Convergence of FedAvg on Non-IID Data
FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.
Federated Learning - PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Federated Learning on XGBoost
Federated gradient boosted decision tree learning
Fedlearn支持前沿算法研发的Python工具库 | Fedlearn algorithm toolkit for researchers
A multi-party collaborative machine learning framework
Code for Federated Learning with Matched Averaging, ICLR 2020.
FedML: A Research Library and Benchmark for Federated Machine Learning
FedNAS: Federated Deep Learning via Neural Architecture Search
Data and code of our paper "Privacy-Preserving News Recommendation Model 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.