KAIST-Visual-AI-Group / Diffusion-Assignment1-DDPM

Related projects ⓘ

Alternatives and complementary repositories for Diffusion-Assignment1-DDPM

• POSTECH-CVLab / style-agnostic-RL
  ☆16Updated 2 years ago
• jihoontack / GradNCP
  Learning Large-scale Neural Fields via Context Pruned Meta-Learning (NeurIPS 2023)
  ☆24Updated last year
• bbuing9 / DND
  Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)
  ☆13Updated last year
• jihoontack / SiMT
  Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)
  ☆23Updated 2 years ago
• junsu-kim97 / PIG
  PyTorch code accompanying the paper "Imitating Graph-Based Planning with Goal-Conditioned Policies" (ICLR 2023).
  ☆19Updated last year
• sjhwang82 / GenerativeAI
  Course Website for "AI618: Generative Model and Unsupervised Learning"
  ☆36Updated last year
• AllanYangZhou / nfn
  NF-Layers for constructing neural functionals.
  ☆75Updated 10 months ago
• minnesotanlp / infoVerse
  Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-informat…
  ☆16Updated last year
• jh-jeong / smoothing-multiscale
  Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)
  ☆12Updated 6 months ago
• GFNOrg / diffusion-finetuning
  ☆16Updated 3 months ago
• JungbinLim / GGAE-public
  ☆11Updated 2 months ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆43Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆72Updated 3 months ago
• huiwon-jang / RSP
  Visual Representation Learning with Stochastic Frame Prediction (ICML 2024)
  ☆16Updated last month
• 1202kbs / DMCMC
  Official PyTorch implementation of "Denoising MCMC for Accelerating Diffusion-Based Generative Models", ICML 2023 Oral Paper
  ☆28Updated last year
• hankook / CLEL
  ☆14Updated last year
• MingyuKim87 / fourier_feature_torch
  PyTorch implementation of FFN : "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains (NeurIPS2020)"
  ☆16Updated last year
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆33Updated 2 weeks ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆27Updated 2 months ago
• ZibinDong / diffusion_models_minimal_tutorial
  ☆16Updated 8 months ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆26Updated 3 months ago
• jaeho-lee / oce
  Codes for "Learning bounds for risk-sensitive learning," NeurIPS 2020 (or see arXiv 2006.08138)
  ☆11Updated 4 years ago
• facebookresearch / gwil
  Cross-Domain Imitation Learning via Optimal Transport
  ☆23Updated 2 years ago
• pokaxpoka / rad_openaigym
  RAD: Reinforcement Learning with Augmented Data (code for state augmentation)
  ☆11Updated 3 years ago
• cloneofsimo / insightful-nn-papers
  These papers will provide unique insightful concepts that will broaden your perspective on neural networks and deep learning
  ☆45Updated last year
• eric-mitchell / macaw-min
  Clean, extensible implementation of MACAW [ICML 2021]
  ☆10Updated 2 years ago
• sc782 / SBM-Transformer
  ☆13Updated last year
• mandt-lab / PSLD
  Official Implementation of the paper: A Complete Recipe for Diffusion Generative Models
  ☆28Updated last week
• 1202kbs / EBCLR
  Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022 Oral Paper
  ☆9Updated 2 years ago
• csmile-1006 / ARP
  Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)
  ☆32Updated last year