Alternatives and similar repositories for ITdiffusion:

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

• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆60Updated last year
• AlexiaJM / score_sde_fast_sampling
  Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
  ☆104Updated 3 years 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
• locuslab / deq-ddim
  ☆61Updated 2 years ago
• marcojira / fld
  PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
  ☆47Updated 6 months ago
• pilancilab / Riemannian_Preconditioned_LoRA
  source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"
  ☆24Updated 10 months ago
• UW-Madison-Lee-Lab / score-wasserstein
  Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.
  ☆17Updated 2 years ago
• Newbeeer / stf
  Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”
  ☆74Updated last year
• 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
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆55Updated 2 years ago
• ruiqigao / recovery_likelihood
  ☆50Updated 4 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆62Updated 3 years ago
• andrew-cr / tauLDR
  Code for the paper https://arxiv.org/abs/2205.14987v2
  ☆49Updated last year
• gregversteeg / InfoDiffusionSimple
  Information-theoretic diffusion, simplified code example.
  ☆30Updated 2 years ago
• J-zin / energy-discrepancy
  NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
  ☆16Updated 6 months ago
• ML-GSAI / Revisiting-Dis-vs-Gen-Classifiers
  Official implementation for "Revisiting Discriminative vs. Generative Classifiers: Theory and Implications".
  ☆15Updated 2 years ago
• forever208 / EDM-ES
  [ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'
  ☆26Updated 11 months ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆27Updated 3 years ago
• Ping-C / optimizer
  This repository includes code to reproduce the tables in "Loss Landscapes are All You Need: Neural Network Generalization Can Be Explaine…
  ☆36Updated 2 years ago
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 3 years ago
• yuanzhi-zhu / mini_edm
  Minimum implementation of EDM (Elucidating the Design Space of Diffusion-Based Generative Models) on cifar10 and mnist
  ☆51Updated last year
• giannisdaras / ambient-tweedie
  [ICML 2024]: Official implementation for the paper: "Consistent Diffusion Meets Tweedie"
  ☆53Updated 11 months ago
• AvivNavon / DWSNets
  Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
  ☆89Updated last year
• baofff / Extended-Analytic-DPM
  Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models (ICML 2022), and a re…
  ☆107Updated 2 years ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆82Updated 2 months ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆35Updated 3 years ago
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆84Updated last year
• pnnl / torchntk
  ☆27Updated 2 years ago
• ngushchin / EntropicNeuralOptimalTransport
  Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).
  ☆37Updated last year
• yang-song / score_flow
  Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
  ☆143Updated 3 years ago