LinLiang (LiangYitiao)

LiangYitiao

Geek Repo

Location:Shanghai, China

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LinLiang's repositories

privateGPT

Interact with your documents using the power of GPT, 100% privately, no data leaks

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Hands-on-RL

https://hrl.boyuai.com/

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RNN-RC-Chaos

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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ydata-quality

Data Quality assessment with one line of code

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BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

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qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.

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EnergyPlus

EnergyPlus™ is a whole building energy simulation program that engineers, architects, and researchers use to model both energy consumption and water use in buildings.

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PINNs-TF2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

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google-research

Google Research

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Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

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DSARF

DSARF: Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting (AAAI2021)

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tft-speedup

Speeding up Google's Temporal Fusion Transformer

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psychrolib

📚 Library of psychrometric functions to calculate 🌡️ thermodynamic properties of air for Python, C, C#, Fortran, R, JavaScript and VBA/Excel

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RC_BuildingSimulator

A Resistance Capacitance Model for an Energetic Simulation of a Building

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epw

Lightweight Python package for editing EnergyPlus Weather (epw) files

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Echo-State-Networks

Echo State Networks with TensorFlow

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ConvTransformerTimeSeries

Convolutional Transformer for time series

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pyESN

Echo State Networks in Python

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sl-quant

Companion code for the "Self Learning Quant" blog post

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