Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A playbook for systematically maximizing the performance of deep learning models.

Probabilistic Machine Learning: Advanced Topics

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Quickly bring up your PyTorch project(a skeleton)

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

Machine Learning algorithms implemented from scratch

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

Probabilistic time series modeling in Python

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Issues found on WSL

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

本教程独立网站已上线

A curated list of Google Earth Engine resources

记录Learning from data一书中的习题解答

深度学习经典、新论文逐段精读

中文版 v2 课程

All the courses I studied in IC

A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.

《统计学习方法》的代码实现