dhasson's Stars
wsgisler/job-shop-scheduling
OR-Tools vs. CP Optimizer vs. CPLEX for Blocking Job Shop / Simple Job Shop Scheduling Problems
topepo/FES
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
AxelThevenot/Python_Benchmark_Test_Optimization_Function_Single_Objective
scipopt/PySCIPOpt
Python interface for the SCIP Optimization Suite
sanderdw/SCIP
SCIP with threading functionality in Docker (scip.zib.de)
shap/shap
A game theoretic approach to explain the output of any machine learning model.
alozano-77/AWS-SAA-C02-Course
Personal notes for SAA-C02 test from: https://learn.cantrill.io
airbnb/knowledge-repo
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
keenanromain/AWS-SAA-C02-Study-Guide
How to become a certified AWS Solutions Architect
HumanSignal/awesome-data-labeling
A curated list of awesome data labeling tools
futurice/backend-best-practices
An evolving description of general best practices for backend development.
osqp/miosqp
MIQP solver based on OSQP
visenger/awesome-mlops
A curated list of references for MLOps
dwmkerr/hacker-laws
💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws
alberto-santini/tsppddl
The Traveling Salesman Problem with Pickups, Deliveries and Draft Limits
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
enochtangg/quick-SQL-cheatsheet
A quick reminder of all SQL queries and examples on how to use them.
IBMDecisionOptimization/docplex-examples
These samples demonstrate how to use the DOcplex library to model and solve optimization problems.
juan-pablo-vielma/INFORMS-ALIO-2019-JuMP-Tutorial
JuMP tutorial for the 2019 INFORMS-ALIO meeting
rkimura47/cmu-comp-or
A series of tutorials for conducting computational experiments with optimization solvers
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
joehuchette/ISCO-spring-school
Material for the ISCO 2018 spring school: “Advanced Mixed Integer Programming Formulation Techniques”
toddwschneider/nyc-taxi-data
Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database
atoptima/BlockDecomposition.jl
Extension of JuMP to model decomposable mathematical programs (using Benders or Dantzig-Wolfe decomposition paradigm)
atoptima/Coluna.jl
Branch-and-Price-and-Cut in Julia
sebmart/TaxiSimulation
simonscheider/mapmatching
An arcpy based HMM map matching tool
cyang-kth/fmm
Fast map matching, an open source framework in C++
thserra/MIPLIBing
jeanpauphilet/SubsetSelectionCIO.jl
Cutting-plane algorithm for exact cardinality-constrained regression