zuoj's starred repositories

mlp

The Multilayer Perceptron Language Model

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AlphaPEM

AlphaPEM is an open-source software package for simulating proton exchange membrane fuel cell (PEMFC) systems using physics-based models for embedded applications.

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LLM101n

LLM101n: Let's build a Storyteller

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Stoix

🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL

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XGBoostLSS

An extension of XGBoost to probabilistic modelling

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xlstm

Official repository of the xLSTM.

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PINN4SOH

A physics-informed neural network for battery SOH estimation

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uni2ts

[ICML2024] Unified Training of Universal Time Series Forecasting Transformers

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PBCT

Source code for Semi-supervised learning for explainable few-shot battery lifetime prediction. Details can be found in README.

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touying

Touying is a powerful package for creating presentation slides in Typst.

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fastZ

Lumped-element impedance calculator and frequency-domain plotter.

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Zahner-Remote-Python

Examples to control Zahner power potentiostats (PP2x2, EL1002, XPOT2) of the latest generation with Python.

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latexdiff

Compares two latex files and marks up significant differences between them. Releases on www.ctan.org and mirrors

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ixdat

The In-situ Experimental Data Tool

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LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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iNSFC

An awesome LaTeX template for NSFC proposal.

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ChineseResearchLaTeX

**科研常用LaTeX模板集

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ModelingToolkitCourse

A course on composable system modeling, differential-algebraic equations, acausal modeling, compilers for simulation, and building digital twins of real-world devices

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vpncn.github.io

2024**翻墙软件VPN推荐以及科学上网避坑,稳定好用。对比SSR机场、蓝灯、V2ray、老王VPN、VPS搭建梯子等科学上网与翻墙软件,**最新科学上网翻墙梯子VPN下载推荐,访问Chatgpt。

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gauche

A Library for Gaussian Processes in Chemistry

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EISART

Electrochemical Impedance Spectra Analysis and Refining Tool

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DRL-for-microgrid-energy-management

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.

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Basisformer

This is the pytorch implementation of Basisformer in the Neurips paper: [BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis]

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mamba

Mamba SSM architecture

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AutoEIS

A tool for automated extraction of equivalent circuit models (ECM) from electrochemical impedance spectroscopy (EIS) data

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ssb

Repository of computational studies on various themes in energy conversion and storage.

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Deep-Reinforcement-Learning-Hands-On-Second-Edition

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

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