This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …

当样本分布发生变化时，交叉验证无法准确评估模型在测试集上的效果，这时候需要其他构造验证集的方法来应对。

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

A python module of handy tools and functions, mainly for ML and Kaggle

Team original solutions for the Human Protein Atlas image classification competition

Making Protein folding accessible to all!

实验证明Permutation Importance的优势

Code for American Express' Default Prediction competition, hosted on Kaggle

Kaggle | Web Traffic Forecasting 📈

Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

https://www.kaggle.com/c/m5-forecasting-accuracy/overview/

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

🛁 Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT

从2020年2月7日至2020年2月17日,黑龙江确诊人数增幅为67.5%,而除开武汉和黑龙江的其他地区仅为26.6%.

a spider for baidu migration data

Productivity Tools for Plotly + Pandas

使用PyTorch实现Unet图像分割

Open solution to the TGS Salt Identification Challenge

Datasets, Transforms and Models specific to Computer Vision

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Code for the Lovász-Softmax loss (CVPR 2018)

PyTorch Tutorial for Deep Learning Researchers