Alternatives and similar repositories for BDI:

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

• tung-nd / ExPT
  ☆15Updated 9 months ago
• GFNOrg / multi-objective-gfn
  Code for "Multi-Objective GFlowNets"
  ☆12Updated last year
• MJ10 / BioSeq-GFN-AL
  Code for "Biological Sequence Design with GFlowNets", 2022
  ☆72Updated last year
• ChenyuWang-Monica / DRAKES
  Code for paper: "Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design"
  ☆30Updated 2 months ago
• prescient-design / holo-bench
  Benchmark for Biophysical Sequence Optimization Algorithms
  ☆15Updated 2 months ago
• nataliemaus / lolbo
  ☆26Updated 2 years ago
• bunnech / condot
  Supervised Training of Conditional Monge Maps
  ☆14Updated last year
• maxwshen / gflownet
  ☆14Updated last year
• andrew-cr / discrete_flow_models
  Code for the paper https://arxiv.org/abs/2402.04997
  ☆64Updated 11 months ago
• samuelstanton / lambo
  Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)
  ☆67Updated 7 months ago
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆23Updated last year
• saleml / continuous-gfn
  ☆23Updated last year
• VITA-Group / HotProtein
  [ICLR 2023] "HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing" by Tianlong Chen*, Chengyue Gong*, Daniel …
  ☆27Updated last year
• pascalnotin / uncertainty_guided_optimization
  Official repository for the paper "Improving black-box optimization in VAE latent space using decoder uncertainty" (Pascal Notin, José Mi…
  ☆31Updated last year
• jzhoulab / ddsm
  Dirichlet Diffusion Score Model for Biological Sequence Generation.
  ☆46Updated 8 months ago
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆84Updated 8 months ago
• violet-sto / HN-GFN
  Official implementation of NeurIPS'23 paper "Sample-efficient Multi-objective Molecular Optimization with GFlowNets"
  ☆14Updated last year
• andrew-cr / jump-diffusion
  ☆31Updated 6 months ago
• vishakhpk / iter-extrapolation
  Repository for code and models for the paper "Extrapolative Controlled Sequence Generation via Iterative Refinement"
  ☆15Updated 10 months ago
• ling-pan / Stochastic-GFN
  ☆12Updated last year
• futianfan / reinforced-genetic-algorithm
  Structure-based Drug Design; Reinforcement Learning and Genetic Algorithm
  ☆70Updated last year
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆46Updated last week
• HeliXonProtein / proximal-exploration
  PyTorch implementation for our paper "Proximal Exploration for Model-guided Protein Sequence Design"
  ☆35Updated last year
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆51Updated 2 years ago
• leojklarner / context-guided-diffusion
  Code for the paper Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
  ☆36Updated 6 months ago
• take-koshizuka / NLSB
  ☆19Updated last year
• MadryLab / rla
  Residue Level Alignment
  ☆16Updated last month
• SubsetSelection / EquiVSet
  NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle
  ☆18Updated 2 years ago
• chao1224 / SGNN-EBM
  Structured Multi-task Learning for Molecular Property Prediction, AISTATS'22 (https://proceedings.mlr.press/v151/liu22e.html)
  ☆13Updated 2 years ago
• DeepGraphLearning / PEER_Benchmark
  PEER Benchmark, appear at NeurIPS 2022 Dataset and Benchmark Track (https://arxiv.org/abs/2206.02096)
  ☆84Updated last year