Alternatives and similar repositories for lambo

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

• MJ10 / BioSeq-GFN-AL
  Code for "Biological Sequence Design with GFlowNets", 2022
  ☆74Updated 2 years ago
• nataliemaus / lolbo
  ☆30Updated 2 years ago
• MachineLearningLifeScience / poli
  A library of discrete objectives
  ☆21Updated last month
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 3 years ago
• prescient-design / holo-bench
  Benchmark for Biophysical Sequence Optimization Algorithms
  ☆20Updated 3 months ago
• cambridge-mlg / weighted-retraining
  ☆44Updated 2 years ago
• genedisco / genedisco
  GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.
  ☆40Updated 2 years ago
• Genentech / walk-jump
  Official repository for discrete Walk-Jump Sampling (dWJS)
  ☆53Updated 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
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆50Updated 5 months ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆134Updated 3 years ago
• VincentStimper / boltzmann-generators
  Implementation of methods to sample from Boltzmann distributions
  ☆20Updated 2 years ago
• Ryan-Rhys / Constrained-Bayesian-Optimisation-for-Automatic-Chemical-Design
  Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml…
  ☆52Updated 2 years ago
• dhbrookes / CbAS
  Code for the ICML 2019 paper 'Conditioning by adaptive sampling for robust design'
  ☆36Updated 4 years ago
• HeliXonProtein / proximal-exploration
  PyTorch implementation for our paper "Proximal Exploration for Model-guided Protein Sequence Design"
  ☆36Updated 2 years ago
• leojklarner / context-guided-diffusion
  Code for the paper Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design
  ☆39Updated last year
• prescient-design / walk-jump
  Official repository for discrete Walk-Jump Sampling (dWJS)
  ☆57Updated last year
• vgsatorras / en_flows
  ☆59Updated 3 years ago
• microsoft / two-for-one-diffusion
  This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…
  ☆65Updated last year
• vict0rsch / faenet
  ☆33Updated 6 months ago
• wenhao-gao / mol_opt
  ☆219Updated last year
• gmh14 / data_efficient_grammar
  [ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
  ☆96Updated 2 years ago
• john-bradshaw / synthesis-dags
  Code for our paper "Barking up the right tree: an approach to search over molecule synthesis DAGs"
  ☆47Updated last year
• brandontrabucco / design-bench
  Benchmarks for Model-Based Optimization
  ☆94Updated last year
• hnisonoff / discrete_guidance
  Code for our paper "Unlocking Guidance for Discrete State-Space Diffusion and Flow Models"
  ☆27Updated 4 months ago
• EleutherAI / mp_nerf
  Massively-Parallel Natural Extension of Reference Frame
  ☆32Updated 2 years ago
• leojklarner / gauche
  A Library for Gaussian Processes in Chemistry
  ☆240Updated 10 months ago
• ngruver / NOS
  Protein Design with Guided Discrete Diffusion
  ☆133Updated last year
• ml-jku / LaM-SLidE
  Code for the paper LaM-SLidE - Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
  ☆25Updated 3 months ago
• jarridrb / DEM
  Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.
  ☆59Updated 4 months ago