Bo Tang
LucasBoTang
Ph.D. Candidate in Operations Research and Machine Learning
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PyTorch implementation of the GradNorm
Three MIP models for optimal classification tree: OCT, binOCT, flowOCT
Exact and meta-heuristic algorithms for NP problems
Unofficial PyTorch Implementation of ModularGan
Repositories
47PyTorch implementation of the GradNorm
A GPU-Accelerated First-Order LP Solver
No description provided.
A Learning-to-Optimize (L2O) package for Mixed-Integer Nonlinear Programming (MINLP)
2024 Fall Lab & Tutorial for MIE365: Advanced Operations Research
Three MIP models for optimal classification tree: OCT, binOCT, flowOCT
No description provided.
Unofficial PyTorch Implementation of ModularGan
No description provided.
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Exact and meta-heuristic algorithms for NP problems
Predict stock market movement based on news
Assignments (Python) in Algorithms Courses of Stanford University at Coursera
Multi-task end-to-end predict-then-optimize
Optimizing Costs for Cloud Computing with Stochastic Programming
Data analysis for real estate management
Deep Learning Specialization by deeplearning.ai on Coursera.
Udacity C++ Project Concurrent Traffic Simulation
RouteOpt
My solutions for LeetCode
MIP for the piecewise affine fitting problem
[PyPi Package] Implementation of the Fast Nonnegative Least Squares algorithm.
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
MUPL language interpreter implemented by Racket
Implement the classical gradient descent method using different step size rules
Assignments for Big Data for Data Engineers specialization on Coursera by Yandex.
Introduction to computer science using python
An an image classifier for species of flowers with PyTorch.
Evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent.
Use unsupervised learning techniques to organize the general population into clusters, then use those clusters to see which of them comprise the main user base for the company.