nightknight2017 Goto Github PK

a3c_trading

Trading with recurrent actor-critic reinforcement learning

advanced-deep-learning-and-reinforcement-learning-deepmind

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

attentive-neural-processes

Using attentive-neural-processes to forecast power usage (w. LSTM baseline)

ausgrid-solar-data

Personal analysis of the "Solar home electricity" dataset from Ausgrid

dc3

DC3: A Learning Method for Optimization with Hard Constraints

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

demand_forecast

dilate

Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"

dive-into-dl-pytorch

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。

drl-for-energy-systems-optimal-scheduling

The source code for Performance comparision of Deep RL algorithms for Energy Systems Optimal Scheduling

e2e-model-learning

Task-based end-to-end model learning in stochastic optimization

electricity-load-disaggregation

Smart meter load disaggregation with Hidden Markov Models

federated-transfer-learning-for-eeg

This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)

hands-on-ml-zh

keras-tcn

Keras Temporal Convolutional Network.

learn-e2e-model

Reproduce paper "Task-based End-to-end Model Learning in Stochastic Optimization" by Donti et al

learngit

learning-building-control

load-forecasting-resnet

short-term load forecasting with deep residual networks

ma-vpp-rl-bidding

Masterthesis: Reinforcement Learning based Strategic Bidding in the Balancing Market with a Virtual Power Plant

messpy

Multi-Energy System Simulator - Python version

ol-ems

Online learning algorithm for microgrid energy management based on MPC

optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks

parl

A high-performance distributed training framework for Reinforcement Learning

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

rnn-models-for-time-series-prediction

Implementation of different RNN architectures for Time Series Prediction for Currency Markets

rsome

Robust Stochastic Optimization Made Easy

scrape-wunderground

Uses Selenium Webdriver to scrape historical hourly weather data from wunderground.com