Alternatives and similar repositories for xaddpy

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

• Lingkai-Kong / so-ebm
  Code for paper: End-to-end Stochastic Optimization with Energy-based Model
  ☆17Updated 2 years ago
• guaguakai / decision-focused-RL
  ☆14Updated 4 years ago
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆20Updated 2 years ago
• DanieleGammelli / graph-rl-for-network-optimization
  ☆16Updated 2 years ago
• HxSun08 / Alt-Diff
  ☆27Updated 2 years ago
• stephmilani / multiagent-viper
  ☆10Updated 3 years ago
• facebookresearch / taskmet
  TaskMet Task-driven Metric Learning for Model Learning
  ☆20Updated last year
• cvxpy / cvxtorch
  Convert CVXPY expressions to PyTorch expressions
  ☆19Updated 6 months ago
• INFERLab / PROF
  ☆12Updated 4 years ago
• Elizabethxyhu / NeurIPS_Two_Stage_Predict-Optimize
  ☆26Updated 2 years ago
• NPLawrence / stochastic_dynamics
  Almost Surely Stable Deep Dynamics [NeurIPS 2020]
  ☆13Updated 3 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆35Updated 4 years ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆32Updated last year
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆38Updated 2 years ago
• stellatogrp / l2ws
  ☆16Updated last year
• INFERLab / COHORT
  COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility
  ☆14Updated 4 years ago
• stellatogrp / mro_experiments
  ☆30Updated 10 months ago
• XiongPengNUS / PandaShifu
  ☆15Updated 2 weeks ago
• chrisyeh96 / sustaingym
  Reinforcement Learning Environments for Sustainable Energy Systems
  ☆61Updated 4 months ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆13Updated 3 years ago
• stellatogrp / l2ws_qp
  ☆14Updated 2 years ago
• Stanford-Sustainable-Systems-Lab / speech-grid-impact
  ☆13Updated 3 years ago
• urosolia / MOMDP
  solver for discrete Mixed Observable Markov Decision Processes
  ☆11Updated 5 years ago
• guaguakai / surrogate-optimization-learning
  ☆18Updated 4 years ago
• martius-lab / CombOptNet
  Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}
  ☆72Updated 3 years ago
• martius-lab / blackbox-differentiation-combinatorial-solvers
  ☆22Updated 3 years ago
• pilancilab / scnn
  Scalable Convex Neural Networks
  ☆25Updated 8 months ago
• yudasong / briee
  Representation Learning in RL
  ☆13Updated 3 years ago
• robintyh1 / neurips2021-meta-gradient-offpolicy-evaluation
  Code for Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation @ NeurIPS 2021
  ☆13Updated 4 years ago
• rohitkannan / DD-SAA
  Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"
  ☆13Updated 3 years ago