liangyitiao Goto Github PK

bayesiandeeplearning-survey

Bayesian Deep Learning: A Survey

bayesiandifferentiableprogramming

convtransformertimeseries

Convolutional Transformer for time series

dsarf

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

echo-state-networks

Echo State Networks with TensorFlow

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.

epw

Lightweight Python package for editing EnergyPlus Weather (epw) files

google-research

Google Research

hands-on-rl

https://hrl.boyuai.com/

informer2020

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

pinns-tf2.0

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

privategpt

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

psychrolib

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

pyesn

Echo State Networks in Python

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.

rc_buildingsimulator

A Resistance Capacitance Model for an Energetic Simulation of a Building

reinforcement-learning

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

rnn-rc-chaos

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

sl-quant

Companion code for the "Self Learning Quant" blog post

tft-speedup

Speeding up Google's Temporal Fusion Transformer

ydata-quality

Data Quality assessment with one line of code