calmair521's Stars
PredictiveScienceLab/data-analytics-se
ME 539 - Introduction to Scientific Machine Learning
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
pnnl/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
MukundKal/rl-dqn-server-optim
Minismization of server cooling costs/electricity costs using Deep-Q Reinforcment Learning (DQ RL).
ucuapps/modelicagym
Modelica models integration with Open AI Gym
semahal/FMU-Env
An OpenAI Gym environment for FMU simulation models.
LBNL-ETA/FlexDRL
apigott/dymolagym
Modelica models integration with Open AI Gym
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
epignatelli/reinforcement-learning-an-introduction
A python implementation of the concepts in the book "Reinforcement Learning: An Introduction" by R.S. Sutton and A. G. Barto.
mahakal001/reinforcement-learning
A collection of various projects related to Reinforcement Learning
jettdlee/10_armed_bandit
PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
PacktPublishing/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
canbefine/CO2-heat-pump-system-optimization
Co-simulation with dymola, and reinforcement learning is deployed on Python.
ZhiqingXiao/rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
INFERLab/Gnu-RL
A precocial reinforcement learning solution for HVAC control
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ALSETLab/Time-Domain-Simulation-Performance-Benchmark
Python scripts and Jupyter Notebooks for the paper "Performance Benchmark of Modelica Time-domain Power System Automated Simulations using Python" from the American Modelica Conference 2020
upb-lea/openmodelica-microgrid-gym
OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids
ORNL-Modelica/ModelicaPy
Python scripts for interaction with Modelica
dta7050/multiAgentSplix
Repo for EEEE-547 term project. Mulit-Agent Reinforcement Learning to play a game based off of Splix.io. Made from the codebase of https://github.com/navyars/Multi-Agent-Snake
secdr/research-method
论文写作与资料分享
pranz24/pytorch-soft-actor-critic
PyTorch implementation of soft actor critic
Vay-keen/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
snowkylin/ntm
TensorFlow implementation of Neural Turing Machines (NTM), with its application on one-shot learning (MANN)
sunday212/Energy_Prediction
Energy prediction using Long Short Term Memory Network
UniqueAndys/Host-Load-Prediction-with-LSTM
host load prediction with Long Short-Term Memory in cloud computing
kharish1995/Machine_Learning
Implementation of Clustering, Logistic Regression, Support Vector Machine, Random Forest classifier etc.