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ashrae-great-energy-predictor-3-solution-analysis

Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition

auctions

Vickrey–Clarke–Groves auction and balanced bidding strategy.

awesome-incremental-learning

Awesome Incremental Learning

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bayesian-optimization

Python code for bayesian optimization using Gaussian processes

boml

Bilevel Optimization Library in Python for Multi-Task and Meta Learning

choropie

Python Geographic Plotting: Create a choropleth map with pie charts at each area centroid.

control-examples

Simple control examples with python-control

coursera

Coursera Machine Learning class exercises (converted from Octave to Python + Numpy)

cs186-auction-agent

Bidding agent for a GSP auction.

disropt

DISROPT: A Python framework for distributed optimization

dshp_data

Supplementary data set accompanying the DSHP-TES

emulator_docker

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

fediot

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection

gridappsd-docker

Docker based runtime for GridAPPS-D based applications and services.

juliabenders

An implementation of Benders decomposition in Julia

jump.jl

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

koopman_learning_and_control

Repository for Koopman based learning and nonlinear control

kronic

Koopman Reduced-Order Nonlinear Identification and Control

ma-gym

A collection of multi agent environments based on OpenAI gym.

paddlets

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

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 ;)

pypsa-eur

PyPSA-Eur: An Open Optimisation Model of the European Transmission System

python-100-days

Python - 100天从新手到大师

tikzplotlib

:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.