fanhongweifd

fanhongweifd

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Company:Tsinghua University

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fanhongweifd's repositories

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Air_Pollution_Mapping

Mapping and prediction of pollution levels using sensor data distributed sparsely across the city of Krakow, Poland using Bellkor recommendation system, semi-supervised classification - L1-regularized logistic regression and radial basis function interpolation.

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AirQualityData

区域气象数据,特征数据等的说明文档及读取方法。

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Bilibili_video_download

:rainbow:Bilibili_video_download-B站视频下载

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

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deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

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DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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featexp

Feature exploration for supervised learning

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featuretools

An open source python framework for automated feature engineering

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fine-scale-air-quality-prediction

An approach to prediction fine-scale air quality

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numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

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OnlinePowerMonitoring

轨道交通电能质量在线监测

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openair

Tools for air quality data analysis

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PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

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pde-deep-learning

Learn and concatenate outputs of PDE models using deep learning

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PlotNeuralNet

Latex code for making neural networks diagrams

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prisms-data-preprocessing

This repository includes the data preprocessing scripts for the project PRISMS

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PyKrige

Kriging Toolkit for Python

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pytorch-seq2seq

An open source framework for seq2seq models in PyTorch.

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pytorch-struct

Fast, general, and tested differentiable structured prediction in PyTorch

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research-method

论文写作与资料分享

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Solve-Air-Air-Pollution-Forecasting-using-Deep-Attentive-Sequence-Learning

First step towards solving a real-life problem - air pollution forecasting in Delhi, using deep learning

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STGCN_IJCAI-18

Spatio-Temporal Graph Convolutional Networks

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timeseriesAI

Practical Deep Learning for Time Series / Sequential Data library based on fastai v2/ Pytorch

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transdim

Machine learning for transportation data imputation and prediction.

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XLUR

A Python toolbox for ArcGIS Pro that enables the development and application of land use regression models.

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