v2.0.1

What's Changed

• Multiple improvements to replay buffers.
• Support for conditional GFNs.
• Support for graph-based states (using torch_geometric).
• Major improvements supporting reproducible experiments in distributed settings.
• Various quality of life improvements, small features, optimizations, and refactorings.
• Complete type safety - library-wide adherence to pyright, while dropping torchtyping.
• Improved documentation.
• Addition of many new environments in gfn/gym.
• Addition of new tutorials and examples demonstrating advanced usage of torchgfn.
• Reproduction of DAG-GFlowNet (Bayesian Structure learning, Deleu et al., 2022).
• Local search sampler (Local Search GFlowNets, Kim et al., 2024).

New Contributors

• @inelgnu made their first contribution in #192
• @younik made their first contribution in #202
• @hyeok9855 made their first contribution in #203
• @alexandrelarouche made their first contribution in #232
• @Idriss-Malek made their first contribution in #236
• @emirceyani made their first contribution in #240
• @alip67 made their first contribution in #210

Full Changelog: v1.2.1...v2.0.1