SS-LSTM model for pedestrian trajectory prediction

According to the paper《SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction》, I wrote this code using pytorch to learn something of LSTM.

Polycrystal generation and meshing

Pytorch implementation of Self-Attention ConvLSTM

A repository of ABAQUS FORTRAN subroutines

CP UMAT and CZM UEL for Abaqus

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

This is the code for the paper 'Machine learning-enabled high-entropy alloy discovery'

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flo…

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Achieve a tiny STL in C++11

程序员相关电子书资料免费分享，欢迎关注个人微信公众号：编程与实战

Tutorial material on the scientific Python ecosystem

Practice your pandas skills!

《利用Python进行数据分析·第2版》