Pinned Repositories
Adversarial_Long-Tail
Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution" (CVPR 2021 Oral)
AIT103-The-principle-of-Artificial-Intelligence
AIT201-Machine-learning-Final-project
AIT202-Deep-learning-final-project-image-recognition
only for project
AIT301--An-Attempt-On-Rebuilding-And-Improving-the-Original-CycleGAN
AIT302-Analysis-of-Worldwide-Life-Expectancy-in-the-period-between-2000-and-2015
AIT306-Deep-Reinforcement-Learning-Assignment
We present the Tabular method to address the WindyGridWorld problem. The result demonstrates that our proposed method successfully solve the problem. To shed light on its intricacies, we will delve into their underpinning logics and illustrate how it can be harnessed to tackle the problem.
AIT306-Deep-Reinforcement-Learning-Final-Project
In this project, we created AI agents in gym atari and retro-atari pong environment. We implement it combined with a convolutional neural network (CNN). And we conducted some experiments, analysis the result, and compare the pong environment between the gym and gym-retro platform to test our model.
DSD-GAN
MySQL-based-Value-Analysis-of-E-commerce-Users-Products-and-Platforms
随着电商⾏业近⼏年的迅猛发展，电⼦商务从早些年的粗放式经营，逐步转化为精细化运营。随着 平台数据量的不断积累， 通过数据分析挖掘消费者的潜在需求，消费偏好成为平台运营过程中的重要环节。本项⽬基于某电商平台⽤户⾏为数据，在 MySQL 关系型数据库，探索⽤户⾏为规律，寻找⾼价值⽤户；分析商品特征，寻找⾼贡献商品；分析产品功能，优化产品路径。
XiaoyangBi's Repositories
XiaoyangBi/AIT306-Deep-Reinforcement-Learning-Assignment
We present the Tabular method to address the WindyGridWorld problem. The result demonstrates that our proposed method successfully solve the problem. To shed light on its intricacies, we will delve into their underpinning logics and illustrate how it can be harnessed to tackle the problem.
XiaoyangBi/MySQL-based-Value-Analysis-of-E-commerce-Users-Products-and-Platforms
随着电商⾏业近⼏年的迅猛发展，电⼦商务从早些年的粗放式经营，逐步转化为精细化运营。随着 平台数据量的不断积累， 通过数据分析挖掘消费者的潜在需求，消费偏好成为平台运营过程中的重要环节。本项⽬基于某电商平台⽤户⾏为数据，在 MySQL 关系型数据库，探索⽤户⾏为规律，寻找⾼价值⽤户；分析商品特征，寻找⾼贡献商品；分析产品功能，优化产品路径。
XiaoyangBi/AIT202-Deep-learning-final-project-image-recognition
only for project
XiaoyangBi/AIT301--An-Attempt-On-Rebuilding-And-Improving-the-Original-CycleGAN
XiaoyangBi/AIT302-Analysis-of-Worldwide-Life-Expectancy-in-the-period-between-2000-and-2015
XiaoyangBi/AIT306-Deep-Reinforcement-Learning-Final-Project
In this project, we created AI agents in gym atari and retro-atari pong environment. We implement it combined with a convolutional neural network (CNN). And we conducted some experiments, analysis the result, and compare the pong environment between the gym and gym-retro platform to test our model.
XiaoyangBi/DSD-GAN
XiaoyangBi/KDDI---Diabetes-Genetic-Risk-Detection-Challenge
By 2022, nearly 130 million people will be living with diabetes in China. The causes of diabetes in China are influenced by various factors such as lifestyle, ageing, urbanisation and family genetics. At the same time, people with diabetes tend to be younger. Diabetes can lead to cardiovascular, renal and cerebrovascular complications. Therefore, accurate diagnosis of individuals with diabetes is of great clinical importance. Early genetic risk prediction of diabetes will help prevent the onset of diabetes. According to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 Edition), the diagnostic criteria for diabetes are having typical symptoms of diabetes (irritable and excessive drinking, polyuria, polyphagia, unexplained weight loss) and random intravenous plasma glucose ≥11.1mmol/L or fasting intravenous plasma glucose ≥7.0mmol/L or plasma 2h after oral glucose tolerance test (OGTT) load Glucose ≥ 11.1mmol/L. In this competition, you will build a genetic risk prediction model for diabetes from a training dataset and then predict whether an individual in the test dataset has diabetes and join us in helping people with diabetes to solve this 'sweet problem'.
XiaoyangBi/Adversarial_Long-Tail
Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution" (CVPR 2021 Oral)
XiaoyangBi/AIT103-The-principle-of-Artificial-Intelligence
XiaoyangBi/AIT201-Machine-learning-Final-project
XiaoyangBi/auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
XiaoyangBi/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
XiaoyangBi/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
XiaoyangBi/deeplearning
Record every running result and file.
XiaoyangBi/Huawei-AI-Algorithm-Race---Intelligent-quality-control-of-lane-rendering-data
This competition provides the competitors with map rendering data and some of its annotations. The training set consists of a set of images of the lane rendering data and some of the annotations, and the competitors use the training data to train their models. The test set is divided into two test sets, A/B. The test set only provides a set of images of the lane rendering data and the contestants use the model to predict whether there are problems with the test images.
XiaoyangBi/imbalanced-algorithms
Python-based implementations of algorithms for learning on imbalanced data.
XiaoyangBi/KDDI-Smart-Hardware-Voice-Controlled-Time-Frequency-Graph-Classification-Challenge
About computer vision - image recognition
XiaoyangBi/llm-universe
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
XiaoyangBi/LvBanGPT
旅游助手
XiaoyangBi/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
XiaoyangBi/Opencv-project
Awesome Opencv Project
XiaoyangBi/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
XiaoyangBi/RMB-Dataset
人民币照片数据集
XiaoyangBi/SOF106-An-Attempt-On-Deep-Learning-Of-COVID-19-Cases-Prediction
An Attempt On Deep Learning Of COVID-19 Cases Prediction
XiaoyangBi/SOF106-Principles-of-Artificial-Intelligence-
Final project
XiaoyangBi/TLC
XiaoyangBi/XiaoyangBi
Config files for my GitHub profile.