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A toolkit for developing and comparing reinforcement learning algorithms.
Python Implementation of Reinforcement Learning: An Introduction
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
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]
Models, data loaders and abstractions for language processing, powered by PyTorch
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code…
A Python package for time series classification
The basic distribution probability Tutorial for Deep Learning Researchers
👫 Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) 👫
TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
The deep residual shrinkage network is a variant of deep residual networks.
Robopy is a python port for Robotics Toolbox in Matlab created by Peter Corke
🌲 Stanford CS 228 - Probabilistic Graphical Models
A Python package for data analysis with permutation entropy and ordinal network methods.
Notes on preparing for coding interviews during my PhD
TFDSUNet: Time-Frequency Dual-Stream Uncertainty Network for Battery SOH/SOC Prediction
Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.
Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. De Domenico and G. Mangioni
End to end framework to replace camera ISP with a deep learning model.
The code corresponding to Predictive Minisci Late Stage Functionalization with Transfer Learning