ML-PersonalWork - Big assignment PersonalWork in Machine Learning, 2021 autumn BUAA.

Last update: Dec 16, 2022

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Deep Learning ML-PersonalWork

Overview

2021 Autumn ML-Personalwork

Personalwork Code, Opensource with GPLv2 License

个人作业投篮命中预测

根据投篮的位置，投篮手段，比赛时间等因素，预测单次投篮是否会命中。

Author:

SnapdragonLee

Data：

20558 条训练数据， 5139 条测试数据，共有 20 条属性，目标标签为 shot_made_flag。

Training Set：DataSet/Train.csv

Test Set：DataSet/Test.csv

Evaluation：

roc_auc_score

Submit：

Submission.zip (submission.txt) 以测试集数据为顺序，每一行记录模型预测出的命中概率

Score：

0.7133916302483058, Rank 3/22.

Methods

基于 XGBClassifier，具体可以查看 report.pdf 。

Owner

Snapdragon Lee

Major changes : Art -> Technology. But working still, and still working.

GitHub Repository

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ML-PersonalWork - Big assignment PersonalWork in Machine Learning, 2021 autumn BUAA.

Related tags

Overview

2021 Autumn ML-Personalwork

个人作业投篮命中预测

Author:

Data：

Evaluation：

Submit：

Score：

Methods

Owner

Snapdragon Lee

A flexible and extensible framework for gait recognition.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Scalable, event-driven, deep-learning-friendly backtesting library

Conditional Gradients For The Approximately Vanishing Ideal

State of the Art Neural Networks for Deep Learning

Code for "Diffusion is All You Need for Learning on Surfaces"

(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

Very Deep Convolutional Networks for Large-Scale Image Recognition

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Solution to the Weather4cast 2021 challenge

Machine learning Bot detection technique, based on United States election dataset

PyTorch reimplementation of Diffusion Models

Projecting interval uncertainty through the discrete Fourier transform

Data and Code for ACL 2021 Paper "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning"

This is the accompanying toolbox for the paper "A Survey on GANs for Anomaly Detection"

X-VLM: Multi-Grained Vision Language Pre-Training

git《Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser》(2021) GitHub: [fig5]

Split your patch similarly to `git add -p` but supporting multiple buckets

Styleformer - Official Pytorch Implementation

Official re-implementation of the Calibrated Adversarial Refinement model described in the paper Calibrated Adversarial Refinement for Stochastic Semantic Segmentation

ML-PersonalWork - Big assignment PersonalWork in Machine Learning, 2021 autumn BUAA.

Related tags

Overview

2021 Autumn ML-Personalwork

个人作业 投篮命中预测

Author:

Data：

Evaluation：

Submit：

Score：

Methods

Owner

Snapdragon Lee

A flexible and extensible framework for gait recognition.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Scalable, event-driven, deep-learning-friendly backtesting library

Conditional Gradients For The Approximately Vanishing Ideal

State of the Art Neural Networks for Deep Learning

Code for "Diffusion is All You Need for Learning on Surfaces"

(CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

Very Deep Convolutional Networks for Large-Scale Image Recognition

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

Solution to the Weather4cast 2021 challenge

Machine learning Bot detection technique, based on United States election dataset

PyTorch reimplementation of Diffusion Models

Projecting interval uncertainty through the discrete Fourier transform

Data and Code for ACL 2021 Paper "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning"

This is the accompanying toolbox for the paper "A Survey on GANs for Anomaly Detection"

X-VLM: Multi-Grained Vision Language Pre-Training

git《Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser》(2021) GitHub: [fig5]

Split your patch similarly to `git add -p` but supporting multiple buckets

Styleformer - Official Pytorch Implementation

Official re-implementation of the Calibrated Adversarial Refinement model described in the paper Calibrated Adversarial Refinement for Stochastic Semantic Segmentation

个人作业投篮命中预测