Linwei Sang (sanglinwei)

sanglinwei

Geek Repo

Company:Tsinghua University

Location:Berkeley, USA

Home Page:https://sanglinwei.com/

Twitter:@sanglinwei21

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Linwei Sang's repositories

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PyOptInterface

Efficient modeling interface for mathematical optimization in Python

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llama3

The official Meta Llama 3 GitHub site

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awesome-prompts

Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.

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deepxde

A library for scientific machine learning and physics-informed learning

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rsome

Robust Stochastic Optimization Made Easy

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MAPIE

A scikit-learn-compatible module for estimating prediction intervals.

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pystreed

Python Implementation of STreeD: Dynamic Programming Approach for Optimal Decision Trees with Separable objectives and Constraints

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gpt_paper_assistant

GPT4 based personalized ArXiv paper assistant bot

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OMLT

Represent trained machine learning models as Pyomo optimization formulations

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neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

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GenX

GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

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qpth

A fast and differentiable QP solver for PyTorch.

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casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

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rayen

Imposition of Hard Convex Constraints on Neural Networks

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cs-self-learning

计算机自学指南

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cvxpylayers

Differentiable convex optimization layers

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OptiCL_v2

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

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mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.

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