Alternatives and similar repositories for BIRD

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

• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆40Updated last year
• lazaratan / meta-flow-matching
  Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold
  ☆55Updated 3 months ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆80Updated 10 months ago
• necludov / super-diffusion
  The Superposition of Diffusion Models Using the Itô Density Estimator
  ☆45Updated 2 months ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆36Updated last year
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆29Updated last year
• gnobitab / ConstrainedDiffusionBridge
  ☆12Updated 2 years ago
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆30Updated 2 years ago
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated 2 years ago
• batu-el / understanding-inductive-biases-of-gnns
  Geometric Deep Learning @ University of Cambridge
  ☆23Updated 3 months ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆24Updated last year
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆36Updated last year
• microsoft / LLM4ScientificDiscovery
  Call for participation in the impact of LLM for scientific discovery
  ☆71Updated last year
• lamm-mit / MateriomicTransformer
  Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Materials
  ☆15Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 6 months ago
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆56Updated last year
• yuwvandy / Large-Graph-Generative-Model
  ☆28Updated 11 months ago
• OpenNLPLab / HGRN2
  HGRN2: Gated Linear RNNs with State Expansion
  ☆54Updated 9 months ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• liusulin / DDPD
  Official Code for Paper "Think While You Generate: Discrete Diffusion with Planned Denoising" [ICLR 2025]
  ☆61Updated last month
• inria-thoth / csa
  Official Pytorch implementation of Chromatic Graph Transformers
  ☆10Updated last year
• AndyShih12 / LongHorizonTemperatureScaling
  PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
  ☆20Updated 2 years ago
• locuslab / get
  Generative Equilibrium Transformer
  ☆18Updated last year
• tychovdo / noethers-razor
  Code for NeurIPS 2024 paper: "Noether's razor: Learning Conserved Quantities" by Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de H…
  ☆10Updated 7 months ago
• IDEA-XL / InstructMol
  InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (COLING 2025)
  ☆47Updated 6 months ago
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]
  ☆53Updated 3 weeks ago
• Shalev-Lifshitz / MultiAgentVerification
  Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
  ☆18Updated 3 months ago
• Data-reindeer / MolScaling
  Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).
  ☆14Updated last year
• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆48Updated last month
• BorgwardtLab / NeuralWalker
  Official Pytorch implementation of NeuralWalker
  ☆33Updated last year