GonzagueHenri
Staff Data Scientist at @equilibriumenergy. AI for clean energy.
Equilibrium EnergyOakland
GonzagueHenri's Stars
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
dask/dask
Parallel computing with task scheduling
optuna/optuna
A hyperparameter optimization framework
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
aikorea/awesome-rl
Reinforcement learning resources curated
awslabs/gluonts
Probabilistic time series modeling in Python
zenml-io/zenml
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
ploomber/ploomber
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
protontypes/open-sustainable-technology
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.
facebookresearch/theseus
A library for differentiable nonlinear optimization
zalandoresearch/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
Nixtla/hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
catalyst-cooperative/pudl
The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
kmax12/gridstatus
Extract data from ISOs and other energy grid sources
WattTime/pyiso
Python client libraries for ISO and other power grid data sources.
PowerGenome/PowerGenome
A tool to quickly and easily create inputs for power systems models
rakshitha123/TSForecasting
This repository contains the implementations related to the experiments of a set of publicly available datasets that are used in the time series forecasting research space.
Total-RD/pymgrid
pymgrid is a python library to generate and simulate a large number of microgrids.
switch-model/switch
A Modern Platform for Planning High-Renewable Power Systems
RLGC-Project/RLGC
An open-source platform for applying Reinforcement Learning for Grid Control (RLGC)
jdechalendar/gridemissions
Tools for power sector emissions tracking
rzwink/pjm_dataminer
PJM data miner scripts to make exporting data easier. PJM is a regional transmission organization (RTO) that coordinates the movement of wholesale electricity in all or parts of 13 states and the District of Columbia. Utilities to connect to available public apis and output in various formats for the convenient population of a data warehouse.
AncillaryServicesAcquisitionModel/ASAM
Ancillary Services Acquisition Model (ASAM) - Agent-based model to simulate processes of ancillary services acquisition and electricity markets
MOREDataset/MORED
A Moroccan Buildings’ Electricity Consumption Dataset. MORED is made available by TICLab of the International University of Rabat (UIR), and the data collection was carried out as part of PVBuild research project, coordinated by Prof. Mounir Ghogho and funded by the United States Agency for International Development (USAID).
RLGC-Project/RLGC-Lib
A library of test cases for developing and benchmarking reinforcement learning for grid dynamic control