HELL-TO-HEAVEN

deeplake

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

EVA

EVA Series: Visual Representation Fantasies from BAAI

imagenette

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

HuggingFace-Download-Accelerator

利用HuggingFace的官方下载工具从镜像网站进行高速下载。

Awesome-Parameter-Efficient-Transfer-Learning

Collection of awesome parameter-efficient fine-tuning resources.

manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

Awesome-Parameter-Efficient-Transfer-Learning

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

ICT

Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)

Awesome-Mixup

[Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)

mix-generation

MixGen: A New Multi-Modal Data Augmentation

Efficient-Dataset-Condensation

Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)

DREAM

Efficient Dataset Distillation by Representative Matching

DATM

ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

MinimaxDiffusion

[CVPR2024] Efficient Dataset Distillation via Minimax Diffusion

SPT

[ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.

ImageNet-100-Pytorch

(Pytorch) Training ResNets on ImageNet-100 data

Point-PEFT

(AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models

autopeft

AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning (Zhou et al.; TACL 2024)

DataDAM

[ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching

multimodal-mixup

Official implementation for NeurIPS'23 paper "Geodesic Multi-Modal Mixup for Robust Fine-Tuning"

M3D

AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

standardized-multichannel-dataset-glaucoma

Standardized Multi-Channel Dataset for Glaucoma (SMDG-19) is a collection and standardization of 19 public full-fundus glaucoma images and associated metadata.

Multisize-Dataset-Condensation

Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)

GoldFromOres

Chest-Xray-Classification

Simple study on ViT performance in medical image classification

augmented-chest-xray

Tool that uses data augmentation for training CNN models specialized in multi-label classification of thorax anomalies in X-ray images.

Download-ChestX-ray8

Script for download the dataset 'ChestX-ray8'

nih-chest-xray-webdataset-subset

A sample subset of the NIH Chest X-ray Dataset. At only 2.4% of the size of the original dataset, it allows creating an accurate classifier using the Augmented Chest X-Ray repository.

CST_CDR

paper