GFlowNet library specialized for graph & molecular data
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Updated
Aug 30, 2024 - Python
GFlowNet library specialized for graph & molecular data
Generative Flow Networks - GFlowNet
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
A PyTorch implementation of a Generative Flow Network (GFlowNet) proposed by Bengio et al. (2021)
Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)
A collection of deep reinforcement learning-based & GFlowNet drug molecule generators focused on generation of molecules using Graphs/SELFIES guided by modern retrosynthesis tools to increase synthetic accessibility of de-novo designed drugs.
A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet
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