Alternatives and similar repositories for PICMM

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

• xiaoboxia / RTM_LNL
  Regularly Truncated M-estimators for Learning with Noisy Labels
  ☆11Updated last year
• DerrickWang005 / Unpair-Seg.pytorch
  Uni-OVSeg is a weakly supervised open-vocabulary segmentation framework that leverages unpaired mask-text pairs.
  ☆53Updated last year
• skzhang1 / IDEAL
  IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
  ☆59Updated last year
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆39Updated last year
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆41Updated last year
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆77Updated 9 months ago
• tmllab / 2024_ICML_DICL
  ☆18Updated last year
• huanranchen / Visualize-Loss-Landscape
  Respect to the input tensor instead of paramters of NN
  ☆21Updated 3 years ago
• justincui03 / tesla
  ☆29Updated last year
• mihirp1998 / Diffusion-TTA
  Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
  ☆78Updated last year
• xiaoboxia / CoDis
  ICCV'2023: Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples
  ☆11Updated 2 years ago
• YBZh / OpenOOD-VLM
  ECCV24, NeurIPS24, Benchmarking Generalized Out-of-Distribution Detection with Vision-Language Models
  ☆28Updated 11 months ago
• kopperx / diffusion_model_pytorch
  ☆10Updated 5 months ago
• zycheiheihei / Transferable-Visual-Prompting
  [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…
  ☆46Updated 11 months ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• tmllab / 2023_ICLR_Moderate-DS
  ☆30Updated 2 years ago
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆131Updated last year
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• gqk / LAE
  [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning
  ☆89Updated last year
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆98Updated last year
• yunqing-me / RICK
  [CVPR-2023] The IEEE/CVF Conference on Computer Vision and Pattern Recognition
  ☆24Updated 2 years ago
• huanranchen / DiffusionClassifier
  Official code implement of Robust Classification via a Single Diffusion Model
  ☆94Updated 8 months ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆72Updated 7 months ago
• suduo94 / D4M
  A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"
  ☆36Updated last year
• DongSky / LPT
  ☆54Updated 3 years ago
• eraseai / erase
  [CIKM-2024] Official code for work "ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance"
  ☆19Updated last year
• Adamdad / Repfusion
  ☆57Updated 2 years ago
• simpleshinobu / IRMCon
  Implementation for ECCV 2022 Paper "Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generali…
  ☆20Updated 3 years ago
• CVMI-Lab / SyntheticData
  Is synthetic data from generative models ready for image recognition?
  ☆184Updated 2 years ago
• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆96Updated last year