gflownet

Generative Flow Networks - GFlowNet

A modular, easy to extend GFlowNet library

GFlowNet library specialized for graph & molecular data

A deep reinforcement learning framework for generating formulaic alpha factors for quantitative investment, powered by GFlowNet, implemented in Python&PyTorch.

Environments and Algorithms for Generative Flow Networks in JAX

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)

Synthesis-oriented molecular design "Generative Flows on Synthetic Pathway for Drug Design" (ICLR 2025)

The source code for the paper "Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization" (ICLR 2025)

Official Implementation of Nabla-GFlowNet (ICLR 2025)

Repository for "Revisiting Non-Acyclic GFlowNets in Discrete Environments" (ICML 2025)

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.

Formulaic alpha mining: strongly-typed GP + GFlowNet search over a typed DSL, with C++/OpenMP portfolio backtest kernels — crypto perps, US equities, China A-shares

Flow-driven recursive skill evolution for agentic LLM orchestration.

Investigating Generalization Behaviours of Generative Flow Networks

A simple implementation of a GFlowNet using PyTorch

LUCIDE : Latent Unified Causal Inference through Dynamic Equilibrium

个人量化研究系统：数据 → 因子（exhaustive/GP/GFlowNet/RL 挖掘）→ 模型 → 组合优化 → 回测 → 监控全链路，A 股日频+日内，研究导向不做实盘。