Machine learning, in numpy

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

PyTorch GPU implementation of the ES-RNN model for time series forecasting

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

《统计学习方法》的代码实现

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

19th place solution in "Predicting Molecular Properties"

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Solution to LSST-PLAsTiCC photometric transient classification challenge

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

PRML algorithms implemented in Python

ATEC蚂蚁开发者大赛-支付风险识别-Rank7

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…