AmirHB98

xgboost_time_series

How to use XGBoost for multi-step time series forecasting

LSTM-MultiStep-Forecasting

Implementation of Electric Load Forecasting Based on LSTM (BiLSTM). Including direct-multi-output forecasting, single-step-scrolling forecasting, multi-model-single-step forecasting, multi-model-scrolling forecasting, and seq2seq forecasting.

BAP

Bayesian Analysis with Python (Second Edition)

parameterfree

Parameter-Free Optimizers for Pytorch

PyTorch_OLoptim

A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning

mplcyberpunk

"Cyberpunk style" for matplotlib plots

aquarel

Styling matplotlib made easy

matplotx

:bar_chart: More styles and useful extensions for Matplotlib

matplotlib

📊 Soothing pastel theme for Matplotlib

CATS-CaliforniaTestSystem

A geographically-accurate synthetic electric grid located in California.

persiantools

Jalali date and datetime with other tools

MFLES

occupant_centric_grid_interactive_buildings_course

BAP3

Figures and code examples from Bayesian Analysis with Python (third edition)

GRANDE

(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

PyomoGallery

A collection of Pyomo examples

gym_solutions

Collection of Python code that solves the Gymnasium Reinforcement Learning environments, along with YouTube tutorials.

TwoStageOptimalControl.jl

A Framework for the solution of Two-Stage optimal control problems with random switching time.

non_stationary_RL

PEDS

ExaGO

High-performance power grid optimization for stochastic, security-constrained, and multi-period ACOPF problems.

relex

RELEX - Reinforcement Learning Experiments. RL experimentation and 'from scratch' implementations repo.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-implementation

Reinforcement Learning examples implementation and explanation

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

paper-global-forec-princip

The repository for the paper Principles for forecasting groups of time series: Locality and globality

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

Implemented-Projects-

This repository covers Implemented projects