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Towards An Unsupervised Learning Scheme for Efficiently Solving Parameterized Mixed-Integer Programs
Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)
Optimization package for the Security-Constrained Unit Commitment Problem
Tools for building power systems optimization problems
Benchmarks for the Optimal Power Flow Problem
Biological foundation modeling from molecular to genome scale
Let your Claude able to think
Hybrid Models for Learning to Branch (NeurIPS 2020)
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
Extensible Combinatorial Optimization Learning Environments
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
A research protocol for deep graph matching.
Awesome machine learning for combinatorial optimization papers.
Predict and search framework for MilP
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
Open source implementation of AlphaFold3
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
PyTorch Implementation of Google Research's MetNet and MetNet-2
Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
Open source code for AlphaFold 2.
A data conversion from BPA-china dataform to MATPOWER dataform, may also work for EPRI-WSCC dataform(.dat),original author Cyren_BJTU @ csdn.net, original source https://download.csdn.net/download/…
A Library for Advanced Deep Time Series Models.
Chatbot for documentation, that allows you to chat with your data. Privately deployable, provides AI knowledge sharing and integrates knowledge into your AI workflow
A python library for user-friendly forecasting and anomaly detection on time series.