Alternatives and similar repositories for matplotlib-prefab

Users that are interested in matplotlib-prefab are comparing it to the libraries listed below

• ai4co / unsupervised-CO-ucom2
  [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
  ☆14Updated last year
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆66Updated 2 years ago
• fedebotu / kaist-safety-course-bot
  A bot for automatically completing the KAIST safety course
  ☆10Updated 2 years ago
• ai4co / gfacs
  Official repository for GFACS
  ☆33Updated last year
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆41Updated 10 months ago
• cbhua / illustration-collection
  The collection of my research papers' illustrations.
  ☆19Updated 2 years ago
• mila-iqia / Awesome-Offline-Model-Based-Optimization
  📰 Must-Read Papers on Offline Model-Based Optimization 🔥
  ☆29Updated last week
• ai4co / parco
  [NeurIPS 2025] PARCO: Parallel AutoRegressive Combinatorial Optimization
  ☆38Updated 2 months ago
• ai4co / camp
  [AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
  ☆30Updated 2 months ago
• Junyoungpark / CGS
  The official implementation of Convergent Graph Solvers (CGS)
  ☆21Updated 4 years ago
• sunnweiwei / CO-Bench
  [AAAI 2026] Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization
  ☆34Updated 5 months ago
• sanketkshah / LODLs
  Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"
  ☆32Updated last year
• Thinklab-SJTU / T2TCO
  [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization
  ☆70Updated 7 months ago
• kaist-silab / meta-sage
  [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…
  ☆10Updated 2 years ago
• alstn12088 / LCP
  ☆23Updated 3 years ago
• kaist-silab / equity-transformer
  ☆28Updated 2 years ago
• ai4co / devformer
  [ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"
  ☆20Updated last year
• RoyalSkye / Routing-CNF
  [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"
  ☆21Updated last year
• ai4co / trajevo
  [AAAI 2026] TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
  ☆12Updated 6 months ago
• DEITSP / DEITSP
  Code for SIGKDD2025 paper: An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem
  ☆14Updated last year
• ntt-dkiku / route-explainer
  The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)
  ☆16Updated last year
• DIMESTeam / DIMES
  ☆46Updated 9 months ago
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆22Updated 2 months ago
• Learning4Optimization-HUST / DualOpt
  ☆14Updated last year
• yd-kwon / SGBS
  codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"
  ☆42Updated 3 years ago
• ahottung / NDS
  Neural Destruction Search for Vehicle Routing Problems
  ☆18Updated 4 months ago
• Thinklab-SJTU / ML4CO-Bench-101
  ML4CO-Bench-101: Benchmark Machine Learning for Classic Combinatorial Problems on Graphs.
  ☆38Updated 2 months ago
• alstn12088 / Sym-NCO
  ☆32Updated 2 years ago
• Thinklab-SJTU / NAR-CO-Solver
  Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…
  ☆41Updated last year
• ml-jku / DIffUCO
  ☆65Updated 3 months ago