sbclegend

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

noodle

Rethinking Student Productivity

self-llm

《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合**宝宝的部署教程

SciencePlots

Matplotlib styles for scientific plotting

mesop

Build delightful web apps quickly in Python

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

Paper-Writing-Tips

MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

scientific-python-lectures

Tutorial material on the scientific Python ecosystem

deepxde

A library for scientific machine learning and physics-informed learning

PyEPO

A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

AdvancedOptML

CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

time_series

Data package: time series of load, wind and solar generation

VRPTW-Column-Generation

A solution to the VRPTW problem using the Column Generation algorithm. Implementation with Python using the Gurobi optimizer (license needed)

HypOp

Hypergraph Neural Network-Based Combinatorial Optimization

Graph_CAVs

The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on our previous repository TorchGRL.

mixed-traffic

Modeling and control of mixed traffic flow

Renewable-energy-generation-input-feature-variables-analysis

DrawFigureForPaper

Some python scripts for drawing figures in scientific papers

tell

A model to predict Total ELectricity Loads (TELL)

statistical-arbitrage

Robust Statistical Arbitrage Strategies

isuelogit

Inverse Stochastic User Equilibrium with LOGIT assignment

Multi-Task_Predict-then-Optimize

Multi-task end-to-end predict-then-optimize

CostSensitiveLearning

Code for the paper "Predict-then-optimize or predict-and-optimize? An empirical evaluation of cost-sensitive learning strategies".

portfolio-opt-with-SPO

This repository experiments with Smart "Predict, then Optimize" framework in the context of portfolio optimization.

zevi

This tutorial surveys different methods to formulate electric vehicle (EV) charging and energy dispatch as an optimization problem, using tools such as convex optimization, Markov decision process (MDP), and reinforcement learning (RL).

gas_electric_early_warning

Case study of the gas-electric early warning system in Zhejiang Province

IDS6938-Computational-Optimization-Models-and-Methods

"IDS6938 Computational Optimization Models and Methods" is a GitHub repository dedicated to facilitating the learning and application of computational optimization techniques. This repository serves as a hub for course materials, including jupyter notebooks, and code examples.

openTEPES-tutorial

openTEPES' Exploratory Execution

investment_allocation

Investment Allocation using Predict then Optimize frameworks.

Multivariate-Statistical-Analysis

This course includes multivariate location and scatter, principal component analysis (PCA), robustness and robust PCA, bivariate correspondence analysis, multiple correspondence analysis (MCA), canonical correlation analysis, discriminant analysis, statistical depth functions, classification and clustering. Software R is used in the exercises