Alternatives and similar repositories for kaist-safety-course-bot

Users that are interested in kaist-safety-course-bot are comparing it to the libraries listed below

• cbhua / matplotlib-prefab
  A collection of Matplotlib plot templates.
  ☆22Updated last year
• Junyoungpark / CGS
  The official implementation of Convergent Graph Solvers (CGS)
  ☆21Updated 3 years ago
• ai4co / unsupervised-CO-ucom2
  [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More
  ☆14Updated last year
• cbhua / illustration-collection
  The collection of my research papers' illustrations.
  ☆18Updated last year
• yd-kwon / SGBS
  codes for the paper "Simulation-guided Beam Search for Neural Combinatorial Optimization"
  ☆41Updated 2 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆54Updated last year
• zdhNarsil / GFlowNet-CombOpt
  PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…
  ☆67Updated 2 years ago
• heemangpark / LNS-PBS
  python implementation of "Multi-Goal Multi-Agent Pickup and Delivery"
  ☆12Updated 2 years ago
• jinPrelude / simple-es
  Simple implementations of multi-agent evolutionary strategies using pytorch.
  ☆16Updated 3 years ago
• ai4co / camp
  [AAMAS 2025 Oral] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
  ☆23Updated 3 months ago
• kaist-silab / equity-transformer
  ☆27Updated last year
• ai4co / devformer
  [ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"
  ☆20Updated 8 months ago
• alstn12088 / LCP
  ☆21Updated 2 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
• kaist-silab / meta-sage
  [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…
  ☆10Updated last year
• addejans / Dynamic-TSP
  In efforts to solve a dynamic travelling salesman problem
  ☆11Updated 5 years ago
• ai4co / parco
  PARCO: Parallel AutoRegressive Combinatorial Optimization
  ☆25Updated 4 months ago
• ai4co / gfacs
  Official repository for GFACS
  ☆32Updated last year
• Spider-scnu / Monte-Carlo-tree-search-for-TSP
  This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).
  ☆34Updated 5 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 3 years ago
• instadeepai / compass
  COMPASS: Combinatorial Optimization with Policy Adaptation using Latent Space Search
  ☆40Updated last year
• instadeepai / poppy
  Population-Based Reinforcement Learning for Combinatorial Optimization
  ☆80Updated last year
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆37Updated 4 months ago
• alstn12088 / Sym-NCO
  ☆30Updated last year
• ntt-dkiku / route-explainer
  The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)
  ☆14Updated last year
• KyunghyunLee / aes-rl
  ☆17Updated 4 years ago
• Junyoungpark / Pytorch-AWAC
  A PyTorch implementation of Advantage weighted Actor-Critic (AWAC)
  ☆56Updated 4 years ago
• Cognitive-AI-Systems / pogema-toolbox
  ☆18Updated last month
• philipjball / ReadyPolicyOne
  🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)
  ☆18Updated 2 years ago
• RoyalSkye / Routing-CNF
  [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"
  ☆20Updated 9 months ago