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Optimization Modeling Using mip Solvers and large language models
Scripts to generate problems for multi-objective integer problems
Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)
Generators for MIP instances with controllable features and difficulty.
Generators for linear programming instances with controllable difficulty and solution properties.
Curated list of open-source quantum software projects.
A dockerized optimization app for the unit-commitment problems described in Pypsa.
open-source library for quantum algorithms (simulation, optimization, machine learning)
A topic-centric list of HQ open datasets.
Classifying, auto-encoding and reverse-engineering QUBO matrices
Repository for Stochastic Optimization Solvers Benchmark code
Current and Historical Lists of S&P 500 components since 1996
Python client for interacting with the Tiingo Financial Data API (stock ticker and news data)
AI-TOML Workflow Specification (aiTWS), a comprehensive and flexible specification for defining arbitrary Ai centric workflows.
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
This is the repository for https://quantumalgorithms.org
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Making large AI models cheaper, faster and more accessible
A lightweight library for converting complex objects to and from simple Python datatypes.
👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Correspondence analysis used for calculating 'scores' given an adjacency matrix as input. Just the source-code.