(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.

Reinforcement Learning for Solving the Vehicle Routing Problem

Attention based model for learning to solve different routing problems

李宏毅2021春季机器学习课程课件及作业

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.

📈 Pytorch dual-attention LSTM-autoencoder for multivariate time series forecasting 📈

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

PyTorch1.6, "Neural Combinatorial Optimization with Reinforcement Learning", Pointer Networks, Deep RL(Actor-Critic), Traveling Salesman Problem

Simplified implementation of federated learning in PyTorch

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

A simulation framework for Federated Learning written in PyTorch

A tutorial walking through the use of Keras-RL for reinforcement learning with OpenAI gym.

An LSTM Autoencoder for rare event classification