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GradNorm
PyTorch implementation of the GradNormOptimal_Classification_Trees
Three MIP models for optimal classification tree: OCT, binOCT, flowOCTCoursera_Discrete_Optimization
Exact and meta-heuristic algorithms for NP problemsModularGAN
Unofficial PyTorch Implementation of ModularGanCoursera_Big_Data_for_Data_Engineers
Assignments for Big Data for Data Engineers specialization on Coursera by Yandex.PyEPO-PredOpt-Chinese-Tutorial
LeetCode
My solutions for LeetCodeGradient_Descent_for_Convex_Quadratic
Implement the classical gradient descent method using different step size rulesAugmented_Lagrangian_Method_for_Block-Structured_Integer_Programming
Coursera_Managing_Big_Data_with_MySQL
Assignments and notes of the Managing Big Data with MySQL on Coursera by Duke UniversityReal_Estate_Management_Data_Analysis
Data analysis for real estate managementCoursera_Algorithms
Coursera Algorithms Specialization by Stanford UniversityRoute_Planning
Route Planning on OpenStreetMapCoursera_Deep_Learning
Deep Learning Specialization by deeplearning.ai on Coursera.Piecewise_Affine_Fitting
MIP for the piecewise affine fitting problemConcurrent_Traffic_Simulation
Udacity C++ Project Concurrent Traffic SimulationCloud_Computing_with_Stochastic_Programming_Decomposition
Optimizing Costs for Cloud Computing with Stochastic ProgrammingSpecies_of_Flowers
An an image classifier for species of flowers with PyTorch.CS5800_Algorithms
Progamming assignments for CS5800 AlgorithmsEdx_Introduction_to_Computer_Science_and_Programming_Using_Python
Introduction to computer science using pythonProject_Financial_Markets_Text_Mining
Predict stock market movement based on newsFinding_Donor
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.Seattle_Airbnb
Data analysis for Airbnb in SeattleMade_Up_Programming_Language
MUPL language interpreter implemented by RacketCustomer_Segments
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.Love Open Source and this site? Check out how you can help us