thanever

thanever's Stars

• MilesCranmer/PySR

  High-Performance Symbolic Regression in Python and Julia

  Language:Python2.5k217

• snap-stanford/pretrain-gnns

  Strategies for Pre-training Graph Neural Networks

  Language:Python971162

• joshpxyne/gpt-migrate

  Easily migrate your codebase from one framework or language to another.

  Language:Python6.9k485

• raphaelvallat/pingouin

  Statistical package in Python based on Pandas

  Language:Python1.6k140

• robertmartin8/PyPortfolioOpt

  Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

  Language:Jupyter Notebook4.6k958

• ChandlerBang/awesome-self-supervised-gnn

  Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

  Language:Python1.6k164

• proroklab/VectorizedMultiAgentSimulator

  VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

  Language:Python34971

• PromtEngineer/localGPT

  Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

  Language:Python20.1k2.3k

• leoschleier/sddip

  Implementation of the (dynamic) stochastic dual dynamic integer programming (SDDiP) algorithm.

  Language:Jupyter Notebook185

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python11k1k

• LLNL/hiop

  HPC solver for nonlinear optimization problems

  Language:C++21042

• zijie0/HumanSystemOptimization

  健康学习到150岁 - 人体系统调优不完全指南

  13.2k963

• eimenhmdt/autoresearcher

  ⚡ Automating scientific workflows with AI ⚡

  Language:Python37538

• jbhuang0604/awesome-tips

  3.5k196

• soravux/scoop

  SCOOP (Scalable COncurrent Operations in Python)

  Language:Python63587

• Farama-Foundation/Gymnasium

  An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

  Language:Python7.5k837

• cvxpy/cvxpy

  A Python-embedded modeling language for convex optimization problems.

  Language:C++5.5k1.1k

• XiaoxinHe/Graph-ViT-MLPMixer

  Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"

  Language:Python14923

• pytorch/tnt

  A lightweight library for PyTorch training tools and utilities

  Language:Python1.7k276

• ee227c/ee227c.github.io

  EE227C (Spring 2018) Course page

  Language:HTML21796

• NREL-Sienna/PowerNetworkMatrices.jl

  Methods to generate matrix representations of power systems matrices

  Language:Julia218

• Team-Nando/EV-Demand-Profiles

  EV Profiles for sharing with DNSPs or any other interested party.

  113

• anyoptimization/pymoo

  NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

  Language:Python2.3k397

• DistrictDataLabs/yellowbrick

  Visual analysis and diagnostic tools to facilitate machine learning model selection.

  Language:Python4.3k559

• e2nIEE/simbench

  Electrical Power System Benchmark Dataset directly usable with pandapower (use the project website for other tools)

  Language:Python10529

• SciML/QuantumNLDiffEq.jl

  Language:Julia175

• L-vdM/EU-renewable-energy-modelling-framework

  Renewable electricity production and demand model for Europe based on meteorological drivers.

  Language:Python7

• ktye-UF/GSA_DistributionSystem

  Language:MATLAB41

• Energy-MAC/TSG-P2P-Pricing

  Public Repository for TSG submission of paper: Pricing and energy trading in peer-to-peer zero marginal-cost microgrids

  Language:MATLAB4412

• cuihantao/Andes.jl

  Julia interface for ANDES, a power system tool for symbolic modeling and numerical simulation

  Language:Julia81