qiqi-helloworld

LibAUC

LibAUC: A Deep Learning Library for X-Risk Optimization

NeurIPS2021_SOAP

Official implementation of the paper "Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence" published on Neurips2021.

A-Simple-and-Effective-Framework-for-Pairewise-Distance-Metric-Learning

Detailed implementation of the paper

ABSGD

Implemented ABSGD Algorithm in the Paper https://arxiv.org/abs/2012.06951

awesome-crawler

A collection of awesome web crawler,spider in different language

COVID-LT

Constructed Long-Tail Covid Dataset by making use of CherXpert and COVID-19 image datacollection.

JDataCompetitionFinalCode

With two month hard work, my team achieved 13th rank of the algorithms game, not that good also not bad. So I upload our code here, share our experiment, hope it would be useful for the beginners.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

qiqi-helloworld.github.io

RECOVER

The code for the paper "An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives"

qiqi-helloworld/A-Simple-and-Effective-Framework-for-Pairewise-Distance-Metric-Learning

Detailed implementation of the paper

qiqi-helloworld/RECOVER

The code for the paper "An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives"

qiqi-helloworld/ABSGD

Implemented ABSGD Algorithm in the Paper https://arxiv.org/abs/2012.06951

qiqi-helloworld/qiqi-helloworld.github.io

qiqi-helloworld/COVID-LT

Constructed Long-Tail Covid Dataset by making use of CherXpert and COVID-19 image datacollection.

qiqi-helloworld/JDataCompetitionFinalCode

With two month hard work, my team achieved 13th rank of the algorithms game, not that good also not bad. So I upload our code here, share our experiment, hope it would be useful for the beginners.

qiqi-helloworld/Crawler

qiqi-helloworld/ICCV2021_DeepAUC

Official implementation of the paper "Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification, ICCV2021"

qiqi-helloworld/auprc_rebuttal

qiqi-helloworld/Automatic-Analysis-Research-of-Optimization-Algorithm-Performance

qiqi-helloworld/beautiful-jekyll

:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

qiqi-helloworld/bigBatch

Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

qiqi-helloworld/bokunwang1.github.io

qiqi-helloworld/boltzmann-machines

Boltzmann Machines in TensorFlow with examples

qiqi-helloworld/DC-Functions-with-Nonconvex-Nonsmooth-Regularizer

This is part of the code about PU learning of the paper http://proceedings.mlr.press/v97/xu19c/xu19c.pdf

qiqi-helloworld/deeplearning-models

A collection of various deep learning architectures, models, and tips

qiqi-helloworld/facenet

Face recognition using Tensorflow

qiqi-helloworld/facenet_pytorch

PyTorch implementation of the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"

qiqi-helloworld/fast-dro

PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets

qiqi-helloworld/HUCAM

ACM practice by JAVA

qiqi-helloworld/incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

qiqi-helloworld/jd

JData京东算法大赛入门程序

qiqi-helloworld/Keras-FlappyBird

Using Keras and Deep Q-Network to Play FlappyBird

qiqi-helloworld/models

Models and examples built with TensorFlow

qiqi-helloworld/Numeric-Represents-on-Evolutionary-Fitness-Results

Recent Research Work.

qiqi-helloworld/pytorch-custom-cuda-tutorial

Tutorial for building a custom CUDA function for Pytorch

qiqi-helloworld/qiqi-helloworld.github.io-qiqi

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

qiqi-helloworld/SCDRO

This is the official code for the TMLR paper "Stochastic Constrained DRO with a Complexity Independent of Sample Size"

qiqi-helloworld/Stochastic-Optimization-of-Areas-Under-Precision-Recall-Curves-with-Provable-Convergence-AUPRC

@article{qi2021stochastic, title={Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence}, author={Qi, Qi and Luo, Youzhi and Xu, Zhao and Ji, Shuiwang and Yang, Tianbao}, journal={arXiv preprint arXiv:2104.08736}, year={2021} }

qiqi-helloworld/vision

Datasets, Transforms and Models specific to Computer Vision