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".
  ☆307Updated last year
• lisadunlap / ALIA
  Augmenting with Language-guided Image Augmentation (ALIA)
  ☆75Updated last year
• ZhangYuanhan-AI / NOAH
  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.
  ☆227Updated last year
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆104Updated last year
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆177Updated last year
• ZhangYuanhan-AI / visual_prompt_retrieval
  [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
  ☆173Updated last year
• BAAI-DCAI / Training-Data-Synthesis
  [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching
  ☆79Updated last year
• Vanint / DatasetExpansion
  The repository of Expanding Small-Scale Datasets with Guided Imagination (NeurIPS 2023).
  ☆79Updated last year
• liuzhuang13 / bias
  ☆106Updated last year
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆77Updated last year
• BeierZhu / Prompt-align
  [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
  ☆162Updated last year
• locuslab / FLYP
  Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models
  ☆98Updated last year
• hjbahng / visual_prompting
  Exploring Visual Prompts for Adapting Large-Scale Models
  ☆276Updated 2 years ago
• deeplearning-wisc / dream-ood
  source code for NeurIPS'23 paper "Dream the Impossible: Outlier Imagination with Diffusion Models"
  ☆66Updated 2 months ago
• mwxely / AIGS
  AI-Generated Images as Data Source: The Dawn of Synthetic Era
  ☆152Updated last year
• ML-GSAI / DPT
  Official PyTorch implementation for "Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels"
  ☆89Updated last year
• ant-research / DreamLIP
  [ECCV 2024] Official PyTorch implementation of DreamLIP: Language-Image Pre-training with Long Captions
  ☆127Updated 3 months ago
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆81Updated last year
• GeorgeCazenavette / glad
  ☆113Updated last year
• DongSky / LPT
  ☆53Updated 2 years ago
• GitGyun / visual_token_matching
  [ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
  ☆253Updated last year
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆91Updated last year
• ucasligang / awesome-MIM
  Reading list for research topics in Masked Image Modeling
  ☆332Updated 3 months ago
• zhenxingjian / Partial_Distance_Correlation
  This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022
  ☆173Updated last year
• yossigandelsman / clip_text_span
  official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"
  ☆197Updated 3 months ago
• mihirp1998 / Diffusion-TTA
  Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
  ☆69Updated last year
• Jordan-HS / Diversity_is_Definitely_Needed
  [CVPRW 2023] Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
  ☆22Updated last year
• Baijiong-Lin / LoRA-Torch
  PyTorch Reimplementation of LoRA (featuring with supporting nn.MultiheadAttention)
  ☆58Updated 3 months ago
• facebookresearch / meru
  Code for the paper "Hyperbolic Image-Text Representations", Desai et al, ICML 2023
  ☆158Updated last year
• sail-sg / mugs
  A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
  ☆84Updated last year