antoine-galataud's Stars
eugeneyan/applied-ml
đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
vwxyzjn/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
fastai/nbdev
Create delightful software with Jupyter Notebooks
google-deepmind/alphageometry
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
facebookresearch/Pearl
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
datamllab/tods
TODS: An Automated Time-series Outlier Detection System
PyPSA/PyPSA
PyPSA: Python for Power System Analysis
NREL/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.
pnnl/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
robotics-survey/Awesome-Robotics-Foundation-Models
opendilab/awesome-decision-transformer
A curated list of Decision Transformer resources (continually updated)
intelligent-environments-lab/CityLearn
Official reinforcement learning environment for demand response and load shaping
TheDatumOrg/kshape-python
Python implementation of k-Shape
montrealrobotics/DeepRLInTheWorld
From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..
idrl-lab/idrlnet
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
IBM/rl-testbed-for-energyplus
Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
ugr-sail/sinergym
Gym environment for building simulation and control using reinforcement learning
Jianxun-Wang/PIMBRL
Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
LBNL-ETA/AlphaBuilding-SyntheticDataset
airboxlab/rllib-energyplus
Simple EnergyPlus environments for control optimization using reinforcement learning
NREL/OpenStudio-resources
baeda-polito/Transfer_learning_building_dynamics
NREL/EnergyPlusRegressionTool
Tools for running regressions on EnergyPlus outputs
airboxlab/rllib-fast-serve
Tools and examples to export policies trained with Ray RLlib for lightweight and fast inference
airboxlab/grafener
EnergyPlus simulation data visualization with Grafana
vtaboga/PEPS
Python-EnergyPlus Simulator
airboxlab/weeksched
A tool to manage weekly schedules