Alternatives and similar repositories for DDiF

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

• sdh0818 / FreD
  Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]
  ☆30Updated last year
• aailabkaist / DG
  Official repo for Discriminator Guidance.
  ☆15Updated last year
• youngjae-cho / APP
  Official PyTorch implementation for Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Pri…
  ☆18Updated last year
• aailabkaist / TIW-DSM
  About Official PyTorch implementation for Training Unbiased Diffusion Models From Biased Dataset in ICLR 2024.
  ☆10Updated last year
• BaeHeeSun / NPC
  ☆25Updated last year
• byeonghu-na / tdsm
  Official PyTorch implementation for Label-Noise Robust Diffusion Models (TDSM) in ICLR 2024.
  ☆14Updated last year
• Multimodal-Commonsense-and-Task / CommonSense-Robots
  ☆10Updated 11 months ago
• Multimodal-Commonsense-and-Task / Multimodal-Graph-Representation
  ☆10Updated 11 months ago
• Multimodal-Commonsense-and-Task / Multimodal-Representation
  ☆13Updated 11 months ago
• aailabkaist / SAAL
  Official PyTorch implementation For Sharpness-Aware Active Learning [ICML 2023]
  ☆11Updated last year
• SJShin-AI / LCMat
  Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)
  ☆22Updated 2 years ago
• OPTML-Group / DP4TL
  [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…
  ☆14Updated 2 years ago
• aailabkaist / DCEVAE
  ☆10Updated last year
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆71Updated 6 months ago
• ncsu-dk-lab / Acc-DD
  ☆14Updated 2 years ago
• tqch / poisson-jump
  Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)
  ☆10Updated 2 years ago
• Multimodal-Commonsense-and-Task / CommonSense-Tasks
  ☆11Updated 11 months ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated 2 years ago
• JJchy / CG_score
  Data Valuation without Training of a Model, submitted to ICLR'23
  ☆22Updated 2 years ago
• clear-nus / selective-amnesia
  ☆64Updated last year
• Wuyxin / DISC
  (ICML 2023) Discover and Cure: Concept-aware Mitigation of Spurious Correlation
  ☆42Updated last year
• ECNU-ICALK / BPT-VLM
  [IJCAI 2023] Black-box Prompt Tuning for Vision-Language Model as a Service
  ☆18Updated 2 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated 2 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆13Updated 4 years ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆46Updated last year
• princeton-pli / what-makes-good-rm
  [NeurIPS 2025] What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆39Updated last month
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• pilancilab / Riemannian_Preconditioned_LoRA
  source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"
  ☆32Updated last year
• sail-sg / Meta-Unlearning
  ☆31Updated 6 months ago