recursionpharma / gflownetLinks
GFlowNet library specialized for graph & molecular data
☆280Updated 6 months ago
Alternatives and similar repositories for gflownet
Users that are interested in gflownet are comparing it to the libraries listed below
Sorting:
- A modular, easy to extend GFlowNet library☆303Updated last week
- Generative Flow Networks - GFlowNet☆301Updated this week
- A curated list of resources about generative flow networks (GFlowNets).☆501Updated last year
- Generative Flow Networks☆662Updated 2 years ago
- Code for "Biological Sequence Design with GFlowNets", 2022☆76Updated 2 years ago
- ☆226Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆67Updated 8 months ago
- ☆203Updated last year
- Graphium: Scaling molecular GNNs to infinity.☆239Updated 7 months ago
- Benchmarks for Model-Based Optimization☆96Updated last year
- QGFN: Controllable Greediness with Action Values - Code☆11Updated last year
- ☆32Updated 3 years ago
- ☆543Updated 3 years ago
- FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation☆272Updated last year
- Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein…☆285Updated last year
- ☆19Updated 2 years ago
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆139Updated 3 years ago
- Code for the paper https://arxiv.org/abs/2402.04997☆101Updated last year
- gRNAde is a Generative AI framework for inverse design of 3D RNA structure and function☆270Updated last week
- Code for the paper Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language☆106Updated last week
- Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)☆276Updated last year
- Fast protein backbone generation with SE(3) flow matching.☆303Updated last year
- A Library for Gaussian Processes in Chemistry☆247Updated last year
- Protein Design with Guided Discrete Diffusion☆140Updated last year
- Code to reproduce experiments in "Accelerating Bayesian Optimization for Protein Design with Denoising Autoencoders" (Stanton et al 2022)☆72Updated last year
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆86Updated 2 years ago
- GflowNets, MCMC, Metropolis-Hasting, Gibbs sampling, Metropolis-adjusted Langevin, Inverse Transform Sampling, Acceptance-Rejection Metho…☆86Updated 2 years ago
- Learning energy decompositions for partial inference in GFlowNets☆16Updated last year
- [ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation☆97Updated 2 years ago
- GEOM: Energy-annotated molecular conformations☆236Updated 3 years ago