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Name: zuoj
Type: User
Name: zuoj
Type: User
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Official reinforcement learning environment for demand response and load shaping
My academic CV powered by LaTeX
Power Network Optimization and Simulation.
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep reinforcement learning based energy management strategy for hybrid electric vehicle
We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.
Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
Lightweight and scalable deep reinforcement learning using PyTorch. 🔥
Reinforcement learning for energy systems
The fastai book, published as Jupyter Notebooks
Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.
Run MPC-based policies and train RL agents in gym-anm environments using implementations from Stable Baselines 3.
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
jMetal: a framework for multi-objective optimization with metaheuristics
Lecture source for "Quantitative Economics with Julia"
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
This is the official implementation for AAAI-23 paper "Are Transformers Effective for Time Series Forecasting?"
Machine learning algorithms implemented by pure numpy
A parallel framework for population-based multi-agent reinforcement learning.
Solution for DrivenData Challenge "Power Laws: Optimizing Demand-side Strategies" (using DQNs, policy networks)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.