DaShenZi721 / HRA
☆23Updated 3 months ago
Alternatives and similar repositories for HRA:
Users that are interested in HRA are comparing it to the libraries listed below
- Official PyTorch implementation for "Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data"☆25Updated 4 months ago
- [AAAI2023 Oral] The official implementation of "Hierarchical Contrastive Learning for Temporal Point Processes"☆22Updated 3 weeks ago
- ☆62Updated last month
- Official PyTorch implementation for "Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations"☆33Updated 9 months ago
- A list of papers for group meeting☆15Updated last month
- NeurIPS23 "Flow Factorized Representation Learning"☆35Updated 3 months ago
- Implementation of Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models☆65Updated last year
- A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)☆10Updated 8 months ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆23Updated last year
- Reparameterized Discrete Diffusion Models for Text Generation☆92Updated last year
- Code for TFG: Unified Training-Free Guidance for Diffusion Models☆43Updated last week
- Interpretable Diffusion Via Information Decomposition☆26Updated 6 months ago
- Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)☆40Updated 9 months ago
- PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes [EMNLP 2024]☆22Updated 2 months ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated 11 months ago
- Official Pytorch implementation of NeuralWalker☆28Updated 7 months ago
- The official PyTorch implementation of Manifold Preserving Guided Diffusion (MPGD)☆27Updated 9 months ago
- ☆12Updated last year
- Unofficial PyTorch implementation of Discrete Denoising Diffusion Probabilistic Model(D3PM)☆32Updated last year
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆21Updated 7 months ago
- PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.☆42Updated 3 months ago
- Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)☆11Updated last year
- Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)☆12Updated 4 months ago
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆31Updated last year
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆86Updated last year
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆35Updated 10 months ago
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆18Updated 11 months ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆25Updated last year
- [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models☆22Updated this week