Alternatives and similar repositories for research_toolbox

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

• AI4Science-WestlakeU / diffphycon
  [NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
  ☆47Updated 3 months ago
• AI4Science-WestlakeU / CL_DiffPhyCon
  [ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency
  ☆28Updated 3 months ago
• mila-iqia / Awesome-Offline-Model-Based-Optimization
  📰 Must-Read Papers on Offline Model-Based Optimization 🔥
  ☆29Updated 2 weeks ago
• AI4Science-WestlakeU / cindm
  [ICLR24] CinDM uses compositional generative models to design boundaries and initial states significantly more complex than the ones seen…
  ☆39Updated 4 months ago
• AI4Science-WestlakeU / flow_guidance
  [ICML 2025] The official implementation of the paper "On the Guidance of Flow Matching"
  ☆82Updated 4 months ago
• GavinKerrigan / functional_flow_matching
  ☆13Updated last year
• AI4Science-WestlakeU / t_scend
  This repo is the code for T-SCEND, a novel framework that significantly improves diffusion model’s reasoning capabilities with better ene…
  ☆26Updated 3 months ago
• yuan-yin / CoDA
  Generalizing to New Physical Systems via Context-Informed Dynamics Model
  ☆26Updated last year
• masa-ue / RLfinetuning_Diffusion_Bioseq
  Code for the tutorial/review paper for RL-based-fine-tuniing. In this code, we especially focus on the design of biological sequences li…
  ☆157Updated last year
• wanjiaZhao1203 / TREAT
  [NeurIPS 2024] Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
  ☆25Updated 7 months ago
• LiuYangMage / in-context-operator-networks
  ICON for in-context operator learning
  ☆60Updated 11 months ago
• xie-lab-ml / deep-learning-dynamics-paper-list
  This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…
  ☆293Updated last year
• jhbastek / PhysicsInformedDiffusionModels
  Implementation of Physics-Informed Diffusion Models (ICLR 2025)
  ☆189Updated last week
• xie-lab-ml / multiphysics-bench
  We propose the first Multiphysics Bench for benchmarking and investigating Scientific Machine Learning for solving multiphysics PDEs.
  ☆36Updated 8 months ago
• AI4Science-WestlakeU / wdno
  [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.
  ☆54Updated 5 months ago
• sjunhongshen / UnifiedPDESolvers
  ☆24Updated last year
• xuzhiqin1990 / understanding_dl
  A lecture note for understanding deep learning
  ☆403Updated last month
• tennisonliu / LLAMBO
  Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"
  ☆101Updated last year
• lim0606 / ddo
  Official codebase for "Score-based Diffusion Models in Function Space"
  ☆17Updated last year
• deep-symbolic-mathematics / LLM-SR
  [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…
  ☆209Updated 6 months ago
• rasin-tsukuba / JAX_tutorial_Chinese_version
  Translate from: https://jax.readthedocs.io/en/latest
  ☆52Updated 4 years ago
• yzshi5 / SPL_OFM
  [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"
  ☆17Updated 3 months ago
• LithiumDA / CodePDE
  CodePDE: An Inference Framework for LLM-driven PDE Solver Generation
  ☆66Updated 5 months ago
• AI4Science-WestlakeU / M2PDE
  [ICML 2025] M2PDE: Compositional Generative Multiphysics and Multi-component PDE Simulation.
  ☆22Updated 9 months ago
• deep-symbolic-mathematics / Multimodal-Math-Pretraining
  [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…
  ☆57Updated last year
• L-I-M-I-T / LatentNeuralOperator
  ☆53Updated 10 months ago
• delta-lab-ai / pde-controller
  ☆24Updated 8 months ago
• LithiumDA / L_inf-PINN
  [NeurIPS 2022] Minimizing L_inf Physics-Informed Loss for PINN with adversarial training
  ☆38Updated 2 years ago
• isds-neu / SymbolicPhysicsLearner
  Symbolic physics learner: Discovering governing equations via Monte Carlo tree search
  ☆26Updated 2 years ago
• hieuristic / Tutorial_4
  A Tutorial for Diffusion Models
  ☆61Updated 2 years ago