dunnolab / phi-moduleLinks
[ICML 2025 GenBio Workshop] Official Implementation for "Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentials"
☆17Updated 7 months ago
Alternatives and similar repositories for phi-module
Users that are interested in phi-module are comparing it to the libraries listed below
Sorting:
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆40Updated last year
- Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆17Updated last year
- The source code for the paper "Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization" (ICLR 2025)☆26Updated 11 months ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆110Updated 3 months ago
- nablaDFT: Large-Scale Conformational Energy and Hamiltonian Prediction benchmark and dataset☆226Updated last month
- ☆36Updated 10 months ago
- code for "Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching"☆129Updated 6 months ago
- GOLF: Gradual Optimization Learning for Conformational Energy Minimization☆19Updated last year
- Code for the paper Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.☆68Updated 9 months ago
- ☆16Updated last year
- Unofficial implementation of GotenNet, new SOTA 3d equivariant transformer, in Pytorch☆67Updated 10 months ago
- Official codebase for "Sampling For Learnability", published at NeurIPS 2024☆20Updated 3 months ago
- Vintix: Action Model via In-Context Reinforcement Learning - - — ICML 2025☆45Updated 8 months ago
- ☆16Updated last year
- The official implementation of "Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation"☆24Updated 3 weeks ago
- Code for “FlowMM Generating Materials with Riemannian Flow Matching” and "FlowLLM: Flow Matching for Material Generation with Large Langu…☆174Updated last year
- [ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Product…☆68Updated last year
- ☆34Updated 11 months ago
- Code for paper "Compositional Sculpting of Iterative Generative Processes"☆25Updated 2 years ago
- Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling☆54Updated 10 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆66Updated last year
- Code for the paper Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities.☆33Updated 6 months ago
- ☆32Updated last year
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆141Updated 2 years ago
- ☆45Updated 7 months ago
- Simple Scalable Discrete Diffusion for text in PyTorch☆37Updated last year
- ☆130Updated last year
- The Superposition of Diffusion Models Using the Itô Density Estimator☆51Updated 10 months ago
- Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)☆71Updated 10 months ago
- VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)☆22Updated last year