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attention-learn-to-route

Attention based model for learning to solve different routing problems

federated-averaging-pytorch

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

federated-learning

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

federated-learning-pytorch

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

federated_learning_pytorch

Simplified implementation of federated learning in PyTorch

flsim

A simulation framework for Federated Learning written in PyTorch

fred_forecasting_final

handson-ml2

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.

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

lstm_autoencoder_classifier

An LSTM Autoencoder for rare event classification

pyod

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

tensorflowkeras-reinforcementlearning

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

time-series-autoencoder

:chart_with_upwards_trend: Pytorch dual-attention LSTM-autoencoder for multivariate time series forecasting :chart_with_upwards_trend:

tsp_drl_ptrnet

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

vrp-rl

Reinforcement Learning for Solving the Vehicle Routing Problem