Alternatives and similar repositories for SyntheticData

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

• amirbar / visual_prompting
  Official implementation and data release of the paper "Visual Prompting via Image Inpainting".
  ☆319Updated 2 years ago
• ZhangYuanhan-AI / visual_prompt_retrieval
  [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
  ☆178Updated last year
• lisadunlap / ALIA
  Augmenting with Language-guided Image Augmentation (ALIA)
  ☆80Updated 2 years ago
• mwxely / AIGS
  AI-Generated Images as Data Source: The Dawn of Synthetic Era
  ☆153Updated 2 years ago
• ZhangYuanhan-AI / NOAH
  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.
  ☆238Updated 2 years ago
• hjbahng / visual_prompting
  Exploring Visual Prompts for Adapting Large-Scale Models
  ☆286Updated 3 years ago
• liuzhuang13 / bias
  ☆113Updated last year
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆190Updated 2 years ago
• BAAI-DCAI / Training-Data-Synthesis
  [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching
  ☆78Updated 2 years ago
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆48Updated 2 years ago
• Vanint / DatasetExpansion
  The repository of Expanding Small-Scale Datasets with Guided Imagination (NeurIPS 2023).
  ☆78Updated last year
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆93Updated last year
• BeierZhu / Prompt-align
  [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
  ☆166Updated 2 years ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• GeorgeCazenavette / glad
  ☆115Updated 2 years ago
• GitGyun / visual_token_matching
  [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
  ☆254Updated 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 …
  ☆134Updated last year
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆72Updated 8 months ago
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆108Updated 2 years ago
• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆96Updated last year
• ucasligang / awesome-MIM
  Reading list for research topics in Masked Image Modeling
  ☆337Updated last year
• gaopengcuhk / BALLAD
  ☆59Updated 3 years ago
• Jordan-HS / Diversity_is_Definitely_Needed
  [CVPRW 2023] Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
  ☆24Updated last year
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆86Updated 2 years ago
• LijieFan / LaCLIP
  [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"
  ☆285Updated last year
• magic-research / Dataset_Quantization
  [ICCV2023] Dataset Quantization
  ☆261Updated last year
• tonyhuang2022 / UPL
  This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).
  ☆117Updated 3 years ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆48Updated 3 years ago
• DongSky / LPT
  ☆55Updated 3 years ago
• sail-sg / mugs
  A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
  ☆84Updated last year