Egg-Hu's Stars
yossigandelsman/clip_text_span
official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"
yossigandelsman/second_order_lens
Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"
open-mmlab/PowerPaint
[ECCV 2024] PowerPaint, a versatile image inpainting model that supports text-guided object inpainting, object removal, image outpainting and shape-guided object inpainting with only a single model. 一个高质量多功能的图像修补模型,可以同时支持插入物体、移除物体、图像扩展、形状可控的物体生成,只需要一个模型
SOTAMak1r/GVGEN
[ECCV 2024] GVGEN: Text-to-3D Generation with Volumetric Representation
wx-zhang/spu
google-research/syn-rep-learn
Learning from synthetic data - code and models
eth-sri/watermark-stealing
Watermark Stealing in Large Language Models (ICML '24)
ZIB-IOL/SMS
Code to reproduce the experiments of the ICLR24-paper: "Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"
optimass/Maximally_Interfered_Retrieval
Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
mr-eggplant/SAR
Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
sdh0818/FreD
Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]
GeorgeCazenavette/glad
Jhyun17/DeYO
allenbai01/transformers-as-statisticians
microsoft/DPSDA
[ICLR 2024] Generating DP Synthetic Data without Training
locuslab/tta_conjugate
Test-Time Adaptation via Conjugate Pseudo-Labels
haoweiz23/DistDiff
The official repository of "Distribution-Aware Data Expansion with Diffusion Models".
alon-albalak/FLAD
Few-shot Learning with Auxiliary Data
ml-research/CAKE
Code for our paper Deep Classifier Mimicry without Data Access
TencentARC/ViSFT
BAAI-DCAI/Training-Data-Synthesis
[ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching
TencentARC/LLaMA-Pro
[ACL 2024] Progressive LLaMA with Block Expansion.
mit-han-lab/llm-awq
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
jakc4103/DFQ
PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
adobe-research/domain-expansion
Domain Expansion of Image Generators - CVPR23
yongchaoz/diffusion_inversion
Code for "Training on Thin Air: Improve Image Classification with Generated Data"
hananshafi/vits-for-small-scale-datasets
[BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"
rinongal/textual_inversion
skgyu/SpaceshipNet
Code of Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch