Alternatives and similar repositories for CostSensitiveLearning:

Users that are interested in CostSensitiveLearning are comparing it to the libraries listed below

• zikunye2 / deep_learning_based_causal_inference_for_combinatorial_experiments
  codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments
  ☆11Updated last year
• d3group / ddop
  Data-Driven operations management - https://d3group.github.io/ddop
  ☆15Updated 9 months ago
• antoinedesir / RUMnet
  ☆9Updated last year
• paulgrigas / SmartPredictThenOptimize
  Code for the paper "Smart 'Predict, then Optimize'"
  ☆72Updated 7 months ago
• PredOpt / predopt-benchmarks
  This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …
  ☆35Updated last week
• omarbahri / SETS
  ☆9Updated last year
• rtm2130 / SPOTree
  ☆33Updated 4 years ago
• CausalML / StochOptForest
  Replication Code for Paper "Stochastic Optimization Forests".
  ☆19Updated 3 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆38Updated 8 months ago
• DanieleGammelli / variational-poisson-rnn
  Official implementation of "Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management"
  ☆19Updated 3 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆24Updated last year
• andvise / inventory-control
  Implementation of inventory control policy parameters computation algorithms
  ☆18Updated 3 years ago
• ErezSC42 / qr_forcaster
  Our implementation of the paper "A Multi-Horizon Quantile Recurrent Forecaster"
  ☆33Updated 2 years ago
• cornell-orie / ORSuite
  ☆15Updated last year
• RAISELab-atUVA / lagrangian-dual-deep-learning
  ☆17Updated 3 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆13Updated 3 years ago
• sbuschjaeger / PyPruning
  Python code to prune ensembles
  ☆12Updated 2 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆11Updated 2 years ago
• ioaar / Interpretable-Embeddings-MNL
  ☆10Updated 3 years ago
• hanshengjiang / Reference_Effects
  Software package for intertemporal pricing optimization under reference effects and consumer heterogeneity estimation. Please see REAMDE.…
  ☆10Updated last year
• goncalorafaria / causaldiscovery-latent-interventions
  Method based on neural networks and variational inference for causal discovery under latent interventions, i. e. learning a shared causal…
  ☆19Updated 3 years ago
• JayMan91 / NeurIPSIntopt
  Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.
  ☆19Updated 10 months ago
• LongPham7 / Distributionally-Robust-Optimization
  Experiments with distributionally robust optimization (DRO) for deep neural networks
  ☆35Updated 5 years ago
• mli171 / Stochastic-Optimization
  Project for Stochastic Programming
  ☆21Updated 7 years ago
• mengcz13 / IJCAI2022_ST-KMRN
  Official implementation of "Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data".
  ☆10Updated 2 years ago
• alwaysbyx / e2e-DR-learning
  Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.
  ☆11Updated 2 years ago
• lmz123321 / proxy_causal_discovery
  Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable
  ☆27Updated 9 months ago
• kaishxu / qrnn
  QRNN (Quantile Regression Neural Network) Keras version
  ☆24Updated 4 years ago
• khalil-research / Neur2SP
  Neur2SP: Neural Two-Stage Stochastic Programming
  ☆40Updated 2 years ago