cbhua / matplotlib-prefab
A collection of Matplotlib plot templates.
☆19Updated last year
Alternatives and similar repositories for matplotlib-prefab:
Users that are interested in matplotlib-prefab are comparing it to the libraries listed below
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆18Updated 4 months ago
- [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More☆13Updated 7 months ago
- Official repository for GFACS☆28Updated 9 months ago
- [AAMAS 2025] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems☆19Updated last month
- The collection of my research papers' illustrations.☆15Updated last year
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆18Updated 3 months ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated last year
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆31Updated 6 months ago
- A bot for automatically completing the KAIST safety course☆10Updated last year
- [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems☆19Updated last month
- The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)☆11Updated 10 months ago
- ☆25Updated last year
- Official Code for Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization (NIPS 2024)☆12Updated 6 months ago
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆16Updated 6 months ago
- Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.☆18Updated 3 months ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆59Updated 3 weeks ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆27Updated 11 months ago
- ☆21Updated 2 years ago
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆61Updated last year
- COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search☆34Updated 8 months ago
- ☆25Updated last year
- [ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"☆19Updated 2 months ago
- ☆17Updated this week
- multi-task learning for routing problem☆15Updated 3 months ago
- Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction (ICML 2023)☆46Updated last year
- ☆40Updated 2 weeks ago
- codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"☆37Updated 2 years ago
- ☆23Updated last year
- Official Implementation of the paper: INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer☆15Updated 7 months ago
- PyTorch code for the NAR4TSP.☆20Updated 3 months ago