WKL's starred repositories

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

Language:PythonStargazers:1594Issues:0Issues:0

3d-bpp

3D bin packing solutions with layers and superitems, for Artificial Intelligence in Industry class at UNIBO

Language:Jupyter NotebookLicense:MITStargazers:106Issues:0Issues:0

3D-Bin-Packing-Problem-with-BRKGA

An implementation ofr Biased Random Key Genetic Algorithmn for 3D Bin Packing Problem.

Language:Jupyter NotebookLicense:MITStargazers:49Issues:0Issues:0

3d-bin-packing

Use a hybrid solver to use the minimum number of bins to pack items with different dimensions

Language:PythonLicense:Apache-2.0Stargazers:49Issues:0Issues:0

leedl-tutorial

《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:12678Issues:0Issues:0

maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Language:PythonLicense:MITStargazers:838Issues:0Issues:0

chronos-forecasting

Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

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OptiGuide

Large Language Models for Supply Chain Optimization

Language:Jupyter NotebookLicense:MITStargazers:295Issues:0Issues:0

MST

Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees

Language:OpenEdge ABLLicense:MITStargazers:15Issues:0Issues:0

RSPapers

A Curated List of Must-read Papers on Recommender System.

License:MITStargazers:6069Issues:0Issues:0
Language:ShellLicense:MITStargazers:46Issues:0Issues:0

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Stargazers:8921Issues:0Issues:0

chatgpt-prompts-for-academic-writing

This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

Stargazers:2723Issues:0Issues:0

customer-lifetime-prediction-using-python

What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.

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plain-academic

A truly simple website template for academics

Language:HTMLLicense:BSD-2-ClauseStargazers:257Issues:0Issues:0

GNN-Recommender-Systems

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

Stargazers:937Issues:0Issues:0

Lhy_Machine_Learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

Language:Jupyter NotebookStargazers:5978Issues:0Issues:0

benders-decomposition-gurobi

Repository contains implementation of Bender Decomposition for classical facility/warehause location problem using Python and Gurobi solver.

Language:PythonLicense:MITStargazers:46Issues:0Issues:0

OptiCL

An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

Language:Jupyter NotebookLicense:MITStargazers:110Issues:0Issues:0
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InferOpt.jl

Combinatorial optimization layers for machine learning pipelines

Language:JuliaLicense:MITStargazers:114Issues:0Issues:0

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:7140Issues:0Issues:0

mercari-solution

Mercari 1st place solution (kaggle)

Language:PythonLicense:MITStargazers:258Issues:0Issues:0
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Neur2SP

Neur2SP: Neural Two-Stage Stochastic Programming

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cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

Language:Jupyter NotebookStargazers:870Issues:0Issues:0

competition-baseline

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:4179Issues:0Issues:0

ML-Papers-Explained

Explanation to key concepts in ML

Stargazers:7000Issues:0Issues:0

costsensitive

(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)

Language:PythonLicense:BSD-2-ClauseStargazers:46Issues:0Issues:0